CRAN Package Check Results for Package adjustedCurves

Last updated on 2026-10-23 22:53:12 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.12.0 11.94 466.12 478.06 OK
r-devel-linux-x86_64-debian-gcc 0.12.0 8.42 215.95 224.37 ERROR
r-devel-linux-x86_64-fedora-clang 0.12.0 9.00 302.55 311.55 OK
r-devel-linux-x86_64-fedora-gcc 0.12.0 305.83 OK
r-devel-windows-x86_64 0.12.0 20.00 478.00 498.00 OK
r-patched-linux-x86_64 0.12.0 15.46 444.02 459.48 OK
r-release-linux-x86_64 0.12.0 12.60 446.07 458.67 OK
r-release-macos-arm64 0.12.0 3.00 113.00 116.00 OK
r-release-macos-x86_64 0.12.0 9.00 522.00 531.00 OK
r-release-windows-x86_64 0.12.0 15.00 466.00 481.00 OK
r-oldrel-macos-arm64 0.12.0 3.00 133.00 136.00 OK
r-oldrel-macos-x86_64 0.12.0 8.00 564.00 572.00 OK
r-oldrel-windows-x86_64 0.12.0 21.00 654.00 675.00 OK

Check Details

Version: 0.12.0
Check: examples
Result: ERROR Running examples in ‘adjustedCurves-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: adjusted_curve_diff > ### Title: Estimate the difference between or the ratio of two > ### Confounder-Adjusted Survival Curves or CIFs > ### Aliases: adjusted_curve_diff adjusted_curve_ratio > > ### ** Examples > > library(adjustedCurves) > library(survival) > > #### Simple Survival Case with adjusted survival curves #### > > # simulate some data as example > set.seed(42) > sim_dat <- sim_confounded_surv(n=30, max_t=1.2) > sim_dat$group <- as.factor(sim_dat$group) > > # propensity score model > ps_mod <- glm(group ~ x1 + x2 + x4 + x5, data=sim_dat, family="binomial") > > # use it to estimate adjusted survival curves with bootstrapping > adjsurv <- adjustedsurv(data=sim_dat, + variable="group", + ev_time="time", + event="event", + method="iptw_km", + treatment_model=ps_mod, + conf_int=TRUE, + bootstrap=TRUE, + n_boot=10) # n_boot should be much higher in reality > > # calculate the whole difference curve > adjdiff <- adjusted_curve_diff(adjsurv) > adjratio <- adjusted_curve_ratio(adjsurv) > > # only some points in time > adjdiff <- adjusted_curve_diff(adjsurv, times=c(0.2, 0.4)) > adjratio <- adjusted_curve_ratio(adjsurv, times=c(0.2, 0.4)) > > # with confidence intervals, p-values > adjdiff <- adjusted_curve_diff(adjsurv, times=c(0.2, 0.4), conf_int=TRUE) > adjratio <- adjusted_curve_ratio(adjsurv, times=c(0.2, 0.4), conf_int=TRUE) > > # using bootstrapping > adjdiff <- adjusted_curve_diff(adjsurv, times=c(0.2, 0.4), conf_int=TRUE, + use_boot=TRUE) > > #### Competing Risks Case with adjusted CIFs #### > if (requireNamespace("cmprsk") & requireNamespace("riskRegression") & + requireNamespace("prodlim")) { + + library(cmprsk) + library(riskRegression) + library(prodlim) + + set.seed(1) + + # simulate some data as example + sim_dat <- sim_confounded_crisk(n=100, max_t=1.2) + sim_dat$group <- as.factor(sim_dat$group) + + # estimate a cause-specific cox-regression for the outcome + csc_mod <- CSC(Hist(time, event) ~ x1 + x2 + x3 + x4 + x5 + x6 + group, + data=sim_dat) + + # use it to calculate adjusted CIFs for cause = 1 with bootstrapping + adjcif <- adjustedcif(data=sim_dat, + variable="group", + ev_time="time", + event="event", + method="direct", + outcome_model=csc_mod, + conf_int=TRUE, + bootstrap=TRUE, + n_boot=10, + cause=1, + product.limit=FALSE) + + # calculate the whole difference curve + adjdiff <- adjusted_curve_diff(adjcif) + adjratio <- adjusted_curve_ratio(adjcif) + + # with confidence intervals + adjdiff <- adjusted_curve_diff(adjcif, conf_int=TRUE) + adjratio <- adjusted_curve_ratio(adjcif, conf_int=TRUE) + + # only at specific points in time + adjdiff <- adjusted_curve_diff(adjcif, times=c(0.2, 0.4), conf_int=TRUE) + adjratio <- adjusted_curve_ratio(adjcif, times=c(0.2, 0.4), conf_int=TRUE) + } Loading required namespace: cmprsk Loading required namespace: riskRegression riskRegression version 2026.03.11 Error in a$specials[[i]] : subscript out of bounds Calls: adjustedcif ... lapply -> FUN -> coxVariableName -> delete.response -> off Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.12.0
Check: tests
Result: ERROR Running ‘testthat.R’ [96s/134s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(adjustedCurves) > > library(dplyr) Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union > > library(testthat) > library(vdiffr) > library(survival) > library(ggplot2) > library(Matching) Loading required package: MASS Attaching package: 'MASS' The following object is masked from 'package:dplyr': select ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## > library(WeightIt) > library(prodlim) > library(MASS) > library(tidyr) > library(riskRegression) riskRegression version 2026.03.11 > library(pec) Attaching package: 'pec' The following objects are masked from 'package:riskRegression': ipcw, selectCox > library(geepack) > library(nnet) > library(cmprsk) > library(eventglm) Attaching package: 'eventglm' The following objects are masked from 'package:prodlim': leaveOneOut.competing.risks, leaveOneOut.survival The following objects are masked from 'package:survival': colon, mgus2 > library(rmarkdown) > library(mice) Attaching package: 'mice' The following object is masked from 'package:stats': filter The following objects are masked from 'package:base': cbind, rbind > > test_check("adjustedCurves") Saving _problems/test_FGR_MI-15.R Saving _problems/test_FGR_MI-20.R Saving _problems/test_MI_adjustedcif-39.R Saving _problems/test_MI_adjustedcif-56.R Saving _problems/test_MI_adjustedsurv-37.R Saving _problems/test_MI_adjustedsurv-52.R Loading required namespace: pammtools Saving _problems/test_cif_aiptw-28.R Saving _problems/test_cif_aiptw-43.R Saving _problems/test_cif_aiptw-60.R Saving _problems/test_cif_aiptw-78.R Saving _problems/test_cif_aiptw-99.R Saving _problems/test_cif_aiptw_pseudo-27.R Saving _problems/test_cif_aiptw_pseudo-43.R Saving _problems/test_cif_aiptw_pseudo-61.R Saving _problems/test_cif_aiptw_pseudo-77.R Saving _problems/test_cif_aiptw_pseudo-96.R Saving _problems/test_cif_aiptw_pseudo-116.R Saving _problems/test_cif_aiptw_pseudo-138.R Saving _problems/test_cif_aiptw_pseudo-165.R Saving _problems/test_cif_aiptw_pseudo-181.R Saving _problems/test_cif_aiptw_pseudo-199.R Saving _problems/test_cif_aiptw_pseudo-218.R Saving _problems/test_cif_direct-14.R Saving _problems/test_cif_direct_pseudo-21.R Saving _problems/test_cif_direct_pseudo-38.R Saving _problems/test_cif_direct_pseudo-56.R Saving _problems/test_cif_direct_pseudo-75.R Saving _problems/test_cif_direct_pseudo-95.R Saving _problems/test_cif_direct_pseudo-112.R Saving _problems/test_cif_direct_pseudo-135.R Saving _problems/test_cif_direct_pseudo-152.R Saving _problems/test_cif_direct_pseudo-170.R Saving _problems/test_cif_direct_pseudo-189.R Saving _problems/test_cif_g_comp-13.R Saving _problems/test_cif_iptw-21.R Saving _problems/test_cif_iptw-35.R Saving _problems/test_cif_iptw-51.R Saving _problems/test_cif_iptw-67.R Saving _problems/test_cif_iptw_pseudo-22.R Saving _problems/test_cif_iptw_pseudo-36.R Saving _problems/test_cif_iptw_pseudo-52.R Saving _problems/test_cif_iptw_pseudo-68.R Assuming "Treatment" is the treated level. If not, recode the treatment so that 1 is treated and 0 is control. Saving _problems/test_cif_iptw_pseudo-84.R Saving _problems/test_cif_iptw_pseudo-99.R Saving _problems/test_cif_iptw_pseudo-120.R Saving _problems/test_cif_iptw_pseudo-191.R Saving _problems/test_cif_iptw_pseudo-215.R Saving _problems/test_cif_iptw_pseudo-229.R Saving _problems/test_cif_iptw_pseudo-245.R Saving _problems/test_cif_iptw_pseudo-261.R Saving _problems/test_cif_iptw_pseudo-289.R Loading required namespace: doParallel starting worker pid=3511173 on localhost:11510 at 15:42:03.116 starting worker pid=3511175 on localhost:11510 at 15:42:03.130 Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Loading required package: survival Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Loading required package: survival Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools starting worker pid=3517354 on localhost:11510 at 15:42:09.382 starting worker pid=3517355 on localhost:11510 at 15:42:09.470 Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Loading required package: survival Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Loading required package: survival Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools starting worker pid=3524261 on localhost:11510 at 15:42:15.420 starting worker pid=3524257 on localhost:11510 at 15:42:15.439 Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Loading required package: survival Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Loading required package: survival Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools starting worker pid=3530272 on localhost:11510 at 15:42:20.833 starting worker pid=3530273 on localhost:11510 at 15:42:20.835 Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Loading required package: adjustedCurves loaded adjustedCurves and set parent environment Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Loading required package: survival Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival Attaching package: ‘mice’ The following object is masked from ‘package:stats’: filter The following objects are masked from ‘package:base’: cbind, rbind Loading required package: survival Attaching package: ‘survival’ The following objects are masked from ‘package:eventglm’: colon, mgus2 Loading required package: prodlim Attaching package: ‘prodlim’ The following objects are masked from ‘package:eventglm’: leaveOneOut.competing.risks, leaveOneOut.survival riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools riskRegression version 2026.03.11 Attaching package: ‘riskRegression’ The following objects are masked from ‘package:pec’: ipcw, selectCox Loading required package: MASS ## ## Matching (Version 4.10-15, Build Date: 2024-10-14) ## See https://www.jsekhon.com for additional documentation. ## Please cite software as: ## Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching ## Software with Automated Balance Optimization: The Matching package for R.'' ## Journal of Statistical Software, 42(7): 1-52. ## Attaching package: ‘dplyr’ The following object is masked from ‘package:MASS’: select The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Loading required package: foreach Loading required package: rngtools Saving _problems/test_general_stuff-268.R Saving _problems/test_general_stuff-308.R Loading required namespace: cowplot Loading required namespace: ggpp Saving _problems/test_surv_aiptw-27.R Saving _problems/test_surv_aiptw-41.R Saving _problems/test_surv_aiptw-57.R Saving _problems/test_surv_aiptw-74.R Saving _problems/test_surv_aiptw-94.R Saving _problems/test_surv_aiptw_pseudo-27.R Saving _problems/test_surv_aiptw_pseudo-42.R Saving _problems/test_surv_aiptw_pseudo-59.R Saving _problems/test_surv_aiptw_pseudo-77.R Saving _problems/test_surv_aiptw_pseudo-96.R Saving _problems/test_surv_aiptw_pseudo-112.R Saving _problems/test_surv_aiptw_pseudo-137.R Saving _problems/test_surv_aiptw_pseudo-152.R Saving _problems/test_surv_aiptw_pseudo-169.R Saving _problems/test_surv_aiptw_pseudo-187.R Saving _problems/test_surv_direct-22.R Saving _problems/test_surv_direct-35.R Saving _problems/test_surv_direct-50.R Saving _problems/test_surv_direct-65.R Saving _problems/test_surv_direct-81.R Saving _problems/test_surv_direct-107.R Saving _problems/test_surv_direct-120.R Saving _problems/test_surv_direct-135.R Saving _problems/test_surv_direct-150.R Saving _problems/test_surv_direct-166.R Saving _problems/test_surv_direct-186.R Saving _problems/test_surv_direct_pseudo-20.R Saving _problems/test_surv_direct_pseudo-36.R Saving _problems/test_surv_direct_pseudo-53.R Saving _problems/test_surv_direct_pseudo-71.R Saving _problems/test_surv_direct_pseudo-90.R Saving _problems/test_surv_direct_pseudo-104.R Saving _problems/test_surv_direct_pseudo-120.R Saving _problems/test_surv_direct_pseudo-137.R Saving _problems/test_surv_direct_pseudo-155.R Saving _problems/test_surv_iptw_cens-22.R Saving _problems/test_surv_iptw_cens-38.R Assuming "Treatment" is the treated level. If not, recode the treatment so that 1 is treated and 0 is control. Saving _problems/test_surv_iptw_cens-54.R Assuming "Treatment" is the treated level. If not, supply an argument to `focal`. Saving _problems/test_surv_iptw_cens-71.R Saving _problems/test_surv_iptw_cens-103.R Saving _problems/test_surv_iptw_cens-120.R Saving _problems/test_surv_iptw_cens-136.R Saving _problems/test_surv_iptw_cens-159.R Saving _problems/test_surv_iptw_cens-190.R Saving _problems/test_surv_iptw_cox-22.R Saving _problems/test_surv_iptw_cox-37.R Assuming "Treatment" is the treated level. If not, recode the treatment so that 1 is treated and 0 is control. Saving _problems/test_surv_iptw_cox-52.R Saving _problems/test_surv_iptw_cox-66.R Saving _problems/test_surv_iptw_cox-86.R Saving _problems/test_surv_iptw_cox-148.R Saving _problems/test_surv_iptw_cox-163.R Saving _problems/test_surv_iptw_cox-190.R Assuming "Treatment" is the treated level. If not, recode the treatment so that 1 is treated and 0 is control. Assuming "Treatment" is the treated level. If not, supply an argument to `focal`. Assuming "Treatment" is the treated level. If not, recode the treatment so that 1 is treated and 0 is control. Assuming "Treatment" is the treated level. If not, recode the treatment so that 1 is treated and 0 is control. Saving _problems/test_surv_iptw_pseudo-21.R Saving _problems/test_surv_iptw_pseudo-34.R Saving _problems/test_surv_iptw_pseudo-49.R Saving _problems/test_surv_iptw_pseudo-64.R Assuming "Treatment" is the treated level. If not, recode the treatment so that 1 is treated and 0 is control. Saving _problems/test_surv_iptw_pseudo-79.R Saving _problems/test_surv_iptw_pseudo-93.R Saving _problems/test_surv_iptw_pseudo-128.R Saving _problems/test_surv_iptw_pseudo-196.R Saving _problems/test_surv_iptw_pseudo-209.R Saving _problems/test_surv_iptw_pseudo-224.R Saving _problems/test_surv_iptw_pseudo-239.R Saving _problems/test_surv_iptw_pseudo-266.R Saving _problems/test_surv_iv_2SRIF-47.R Saving _problems/test_surv_iv_2SRIF-61.R Saving _problems/test_surv_iv_2SRIF-73.R Saving _problems/test_surv_iv_2SRIF-85.R Saving _problems/test_surv_iv_2SRIF-97.R [ FAIL 124 | WARN 0 | SKIP 171 | PASS 1013 ] ══ Skipped tests (171) ═════════════════════════════════════════════════════════ • On CRAN (171): 'test_MI_adjustedcif.r:64:1', 'test_MI_adjustedsurv.r:60:1', 'test_adjusted_curve_test.r:43:1', 'test_adjusted_curve_test.r:88:1', 'test_adjusted_curve_test.r:138:1', 'test_adjusted_curve_test.r:190:1', 'test_adjustedcif.method_S3.r:15:1', 'test_adjustedcif.method_S3.r:19:1', 'test_adjustedcif_S3.r:17:1', 'test_adjustedcif_S3.r:21:1', 'test_adjustedcif_S3.r:26:1', 'test_adjustedcif_S3.r:31:1', 'test_adjustedcif_S3.r:36:1', 'test_adjustedcif_S3.r:41:1', 'test_adjustedcif_S3.r:46:1', 'test_adjustedcif_S3.r:51:1', 'test_adjustedcif_S3.r:56:1', 'test_adjustedcif_S3.r:61:1', 'test_adjustedcif_S3.r:67:1', 'test_adjustedcif_S3.r:73:1', 'test_adjustedcif_S3.r:79:1', 'test_adjustedsurv.method_S3.r:15:1', 'test_adjustedsurv_S3.r:16:1', 'test_adjustedsurv_S3.r:20:1', 'test_adjustedsurv_S3.r:25:1', 'test_adjustedsurv_S3.r:30:1', 'test_adjustedsurv_S3.r:35:1', 'test_adjustedsurv_S3.r:40:1', 'test_adjustedsurv_S3.r:45:1', 'test_adjustedsurv_S3.r:50:1', 'test_adjustedsurv_S3.r:55:1', 'test_adjustedsurv_S3.r:60:1', 'test_adjustedsurv_S3.r:65:1', 'test_adjustedsurv_S3.r:70:1', 'test_adjustedsurv_S3.r:75:1', 'test_adjustedsurv_S3.r:80:1', 'test_adjustedsurv_S3.r:85:1', 'test_adjustedsurv_S3.r:90:1', 'test_adjustedsurv_S3.r:95:1', 'test_adjustedsurv_S3.r:100:1', 'test_adjustedsurv_S3.r:106:1', 'test_adjustedsurv_S3.r:112:1', 'test_adjustedsurv_S3.r:118:1', 'test_curve_test_S3.r:20:1', 'test_curve_test_S3.r:24:1', 'test_plot.adjustedcif.r:19:1', 'test_plot.adjustedcif.r:25:1', 'test_plot.adjustedcif.r:31:1', 'test_plot.adjustedcif.r:37:1', 'test_plot.adjustedcif.r:43:1', 'test_plot.adjustedcif.r:54:1', 'test_plot.adjustedcif.r:65:1', 'test_plot.adjustedcif.r:81:1', 'test_plot.adjustedcif.r:97:1', 'test_plot.adjustedcif.r:103:1', 'test_plot.adjustedcif.r:109:1', 'test_plot.adjustedcif.r:115:1', 'test_plot.adjustedcif.r:121:1', 'test_plot.adjustedcif.r:128:1', 'test_plot.adjustedcif.r:134:1', 'test_plot.adjustedcif.r:140:1', 'test_plot.adjustedcif.r:151:1', 'test_plot.adjustedcif.r:157:1', 'test_plot.adjustedcif.r:163:1', 'test_plot.adjustedcif.r:169:1', 'test_plot.adjustedcif.r:176:1', 'test_plot.adjustedcif.r:182:1', 'test_plot.adjustedcif.r:188:1', 'test_plot.adjustedcif.r:195:1', 'test_plot.adjustedsurv.r:35:1', 'test_plot.adjustedsurv.r:41:1', 'test_plot.adjustedsurv.r:47:1', 'test_plot.adjustedsurv.r:53:1', 'test_plot.adjustedsurv.r:59:1', 'test_plot.adjustedsurv.r:70:1', 'test_plot.adjustedsurv.r:81:1', 'test_plot.adjustedsurv.r:97:1', 'test_plot.adjustedsurv.r:113:1', 'test_plot.adjustedsurv.r:123:1', 'test_plot.adjustedsurv.r:129:1', 'test_plot.adjustedsurv.r:135:1', 'test_plot.adjustedsurv.r:141:1', 'test_plot.adjustedsurv.r:147:1', 'test_plot.adjustedsurv.r:154:1', 'test_plot.adjustedsurv.r:160:1', 'test_plot.adjustedsurv.r:166:1', 'test_plot.adjustedsurv.r:172:1', 'test_plot.adjustedsurv.r:178:1', 'test_plot.adjustedsurv.r:189:1', 'test_plot.adjustedsurv.r:196:1', 'test_plot.adjustedsurv.r:202:1', 'test_plot.adjustedsurv.r:208:1', 'test_plot.adjustedsurv.r:215:1', 'test_plot.adjustedsurv.r:222:1', 'test_plot.adjustedsurv.r:230:1', 'test_plot.adjustedsurv.r:267:1', 'test_plot.adjustedsurv.r:273:1', 'test_plot.adjustedsurv.r:279:1', 'test_plot.adjustedsurv.r:286:1', 'test_plot.adjustedsurv.r:292:1', 'test_plot.adjustedsurv.r:299:1', 'test_plot.adjustedsurv.r:306:1', 'test_plot.adjustedsurv.r:312:1', 'test_plot.adjustedsurv.r:318:1', 'test_plot.adjustedsurv.r:326:1', 'test_plot.adjustedsurv.r:335:1', 'test_plot.adjustedsurv.r:341:1', 'test_plot.adjustedsurv.r:348:1', 'test_plot.adjustedsurv.r:354:1', 'test_plot.adjustedsurv.r:362:1', 'test_plot.adjustedsurv.r:371:1', 'test_plot.adjustedsurv.r:378:1', 'test_plot.adjustedsurv.r:389:1', 'test_plot.adjustedsurv.r:395:1', 'test_plot.adjustedsurv.r:402:1', 'test_plot.adjustedsurv.r:410:1', 'test_plot.adjustedsurv.r:436:1', 'test_plot.adjustedsurv.r:443:1', 'test_plot.adjustedsurv.r:450:1', 'test_plot.adjustedsurv.r:457:1', 'test_plot_auc_curve.r:19:1', 'test_plot_auc_curve.r:25:1', 'test_plot_auc_curve.r:31:1', 'test_plot_auc_curve.r:37:1', 'test_plot_auc_curve.r:43:1', 'test_plot_auc_curve.r:49:1', 'test_plot_auc_curve.r:56:1', 'test_plot_auc_curve.r:62:1', 'test_plot_auc_curve.r:68:1', 'test_plot_auc_curve.r:74:1', 'test_plot_auc_curve.r:80:1', 'test_plot_auc_curve.r:87:1', 'test_plot_auc_curve.r:94:1', 'test_plot_auc_curve.r:100:1', 'test_plot_auc_curve.r:106:1', 'test_plot_auc_curve.r:112:1', 'test_plot_auc_curve.r:119:1', 'test_plot_auc_curve.r:125:1', 'test_plot_auc_curve.r:131:1', 'test_plot_auc_curve.r:137:1', 'test_plot_curve_diff.r:18:1', 'test_plot_curve_diff.r:24:1', 'test_plot_curve_diff.r:30:1', 'test_plot_curve_diff.r:38:1', 'test_plot_curve_diff.r:44:1', 'test_plot_curve_diff.r:50:1', 'test_plot_curve_diff.r:58:1', 'test_plot_curve_diff.r:64:1', 'test_plot_curve_diff.r:70:1', 'test_plot_curve_diff.r:76:1', 'test_plot_curve_diff.r:82:1', 'test_plot_curve_diff.r:88:1', 'test_plot_curve_diff.r:95:1', 'test_plot_curve_diff.r:102:1', 'test_plot_curve_diff.r:108:1', 'test_plot_curve_diff.r:114:1', 'test_plot_curve_diff.r:120:1', 'test_plot_curve_diff.r:126:1', 'test_plot_curve_diff.r:138:1', 'test_plot_curve_diff.r:144:1', 'test_plot_curve_diff.r:150:1', 'test_plot_curve_diff.r:172:1', 'test_plot_curve_ratio.r:18:1', 'test_plot_curve_ratio.r:24:1', 'test_plot_curve_ratio.r:30:1', 'test_plot_curve_ratio.r:36:1', 'test_plot_curve_ratio.r:42:1', 'test_plot_curve_ratio.r:48:1', 'test_plot_curve_ratio.r:54:1', 'test_plot_curve_ratio.r:71:1', 'test_surv_prox_aiptw.r:72:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_FGR_MI.r:15:3'): no additional args ──────────────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::FGR_MI(...) at test_FGR_MI.r:15:3 2. └─adjustedCurves:::ce_model_mi(...) 3. └─riskRegression::FGR(...) 4. └─prodlim::EventHistory.frame(...) 5. └─prodlim::model.design(...) 6. └─stats::delete.response(terms) 7. └─stats (local) off(a$specials[[i]]) ── Error ('test_FGR_MI.r:20:3'): with additional args ────────────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::FGR_MI(...) at test_FGR_MI.r:20:3 2. └─adjustedCurves:::ce_model_mi(...) 3. └─riskRegression::FGR(...) 4. └─prodlim::EventHistory.frame(...) 5. └─prodlim::model.design(...) 6. └─stats::delete.response(terms) 7. └─stats (local) off(a$specials[[i]]) ── Error ('test_MI_adjustedcif.r:32:3'): MI, direct, no boot ─────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_MI_adjustedcif.r:32:3 2. ├─base::do.call(adjustedcif, args = args2) 3. └─adjustedCurves (local) `<fn>`(...) 4. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 6. │ └─base::do.call(.fcn, args = args, envir = envir) 7. └─adjustedCurves (local) `<fn>`(...) 8. └─riskRegression::ate(...) 9. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 10. └─riskRegression (local) `<fn>`(...) 11. ├─riskRegression::predictRisk(...) 12. └─riskRegression:::predictRisk.CauseSpecificCox(...) 13. ├─stats::predict(...) 14. └─riskRegression:::predict.CauseSpecificCox(...) 15. └─riskRegression:::compressData(...) 16. └─base::lapply(...) 17. └─riskRegression (local) FUN(X[[i]], ...) 18. └─riskRegression::coxVariableName(iO, model.frame = coxModelFrame(iO)) 19. └─stats::delete.response(...) 20. └─stats (local) off(a$specials[[i]]) ── Error ('test_MI_adjustedcif.r:47:3'): MI, direct, boot ────────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test_MI_adjustedcif.r:46:3 2. │ └─base::withCallingHandlers(...) 3. └─adjustedCurves::adjustedcif(...) at test_MI_adjustedcif.r:47:3 4. ├─base::do.call(adjustedcif, args = args2) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::adjustedcif_boot(...) 7. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 8. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 9. │ └─base::do.call(.fcn, args = args, envir = envir) 10. └─adjustedCurves (local) `<fn>`(...) 11. └─riskRegression::ate(...) 12. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 13. └─riskRegression (local) `<fn>`(...) 14. ├─riskRegression::predictRisk(...) 15. └─riskRegression:::predictRisk.CauseSpecificCox(...) 16. ├─stats::predict(...) 17. └─riskRegression:::predict.CauseSpecificCox(...) 18. └─riskRegression:::compressData(...) 19. └─base::lapply(...) 20. └─riskRegression (local) FUN(X[[i]], ...) 21. └─riskRegression::coxVariableName(iO, model.frame = coxModelFrame(iO)) 22. └─stats::delete.response(...) 23. └─stats (local) off(a$specials[[i]]) ── Error ('test_MI_adjustedsurv.r:31:3'): MI, direct, no boot ────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_MI_adjustedsurv.r:31:3 2. ├─base::do.call(adjustedsurv, args = args2) 3. └─adjustedCurves (local) `<fn>`(...) 4. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 6. │ └─base::do.call(.fcn, args = args, envir = envir) 7. └─adjustedCurves (local) `<fn>`(...) 8. └─riskRegression::ate(...) 9. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 10. └─riskRegression (local) `<fn>`(...) 11. ├─riskRegression::predictRisk(...) 12. └─riskRegression:::predictRisk.coxph(...) 13. └─riskRegression::predictCox(...) 14. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 15. └─stats::delete.response(...) 16. └─stats (local) off(a$specials[[i]]) ── Error ('test_MI_adjustedsurv.r:44:3'): MI, direct, boot ───────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_MI_adjustedsurv.r:44:3 2. ├─base::do.call(adjustedsurv, args = args2) 3. └─adjustedCurves (local) `<fn>`(...) 4. └─adjustedCurves:::adjustedsurv_boot(...) 5. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 6. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 7. │ └─base::do.call(.fcn, args = args, envir = envir) 8. └─adjustedCurves (local) `<fn>`(...) 9. └─riskRegression::ate(...) 10. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 11. └─riskRegression (local) `<fn>`(...) 12. ├─riskRegression::predictRisk(...) 13. └─riskRegression:::predictRisk.coxph(...) 14. └─riskRegression::predictCox(...) 15. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 16. └─stats::delete.response(...) 17. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw.r:20:3'): 2 treatments, no conf_int, no boot ───────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw.r:20:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 8. └─riskRegression (local) `<fn>`(...) 9. └─base::lapply(...) 10. └─riskRegression (local) FUN(X[[i]], ...) 11. ├─riskRegression::predictRisk(...) 12. └─riskRegression:::predictRisk.coxph(...) 13. └─riskRegression::predictCox(...) 14. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 15. └─stats::delete.response(...) 16. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw.r:35:3'): 2 treatments, with conf_int, no boot ─────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw.r:35:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─riskRegression::iidCox(...) 8. └─riskRegression:::iidCox.CauseSpecificCox(...) 9. ├─riskRegression::iidCox(...) 10. └─riskRegression:::iidCox.coxph(...) 11. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 12. └─stats::delete.response(...) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw.r:50:3'): 2 treatments, no conf_int, with boot ─────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw.r:50:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. └─base::lapply(...) 11. └─riskRegression (local) FUN(X[[i]], ...) 12. ├─riskRegression::predictRisk(...) 13. └─riskRegression:::predictRisk.coxph(...) 14. └─riskRegression::predictCox(...) 15. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 16. └─stats::delete.response(...) 17. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw.r:67:3'): 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw.r:67:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 8. └─riskRegression (local) `<fn>`(...) 9. └─base::lapply(...) 10. └─riskRegression (local) FUN(X[[i]], ...) 11. ├─riskRegression::predictRisk(...) 12. └─riskRegression:::predictRisk.coxph(...) 13. └─riskRegression::predictCox(...) 14. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 15. └─stats::delete.response(...) 16. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw.r:87:3'): 2 treatments, no conf_int, no boot, with times, with cens_mod ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw.r:87:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 8. └─riskRegression (local) `<fn>`(...) 9. └─base::lapply(...) 10. └─riskRegression (local) FUN(X[[i]], ...) 11. ├─riskRegression::predictRisk(...) 12. └─riskRegression:::predictRisk.coxph(...) 13. └─riskRegression::predictCox(...) 14. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 15. └─stats::delete.response(...) 16. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:18:3'): 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:18:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:34:3'): 2 treatments, with conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:34:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:50:3'): 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:50:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_aiptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:68:3'): 2 treatments, using propensity score directly ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:68:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:84:3'): 2 treatments, no conf_int, no boot, with times, factor time ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:84:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:103:3'): 2 treatments, no conf_int, no boot, with times, ns time ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:103:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:127:3'): works with survival data ─────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test_cif_aiptw_pseudo.r:127:3 2. │ └─base::withCallingHandlers(...) 3. └─adjustedCurves::adjustedcif(...) 4. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 6. │ └─base::do.call(.fcn, args = args, envir = envir) 7. └─adjustedCurves (local) `<fn>`(...) 8. └─adjustedCurves:::method_aiptw_pseudo(...) 9. └─adjustedCurves:::calc_pseudo_surv(...) 10. ├─prodlim::jackknife(...) 11. └─prodlim::prodlim(hist_formula, data = data) 12. └─prodlim::EventHistory.frame(...) 13. └─prodlim::model.design(...) 14. └─stats::delete.response(terms) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:156:3'): > 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:156:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:172:3'): > 2 treatments, with conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:172:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:188:3'): > 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:188:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_aiptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_aiptw_pseudo.r:206:3'): > 2 treatments, no conf_int, no boot, with times, factor time ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_aiptw_pseudo.r:206:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct.r:13:1'): (code run outside of `test_that()`) ─────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─riskRegression::FGR(...) at test_cif_direct.r:13:1 2. └─prodlim::EventHistory.frame(...) 3. └─prodlim::model.design(...) 4. └─stats::delete.response(terms) 5. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:13:3'): 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:13:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:28:3'): 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:28:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_direct_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:45:3'): 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:45:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_direct_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:64:3'): 2 treatments, no conf_int, no boot, with times, type_time='factor' ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:64:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:83:5'): 2 treatments, no conf_int, no boot, with times, type_time='ns' ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:83:5 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:102:3'): 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test_cif_direct_pseudo.r:102:3 2. │ └─base::withCallingHandlers(...) 3. └─adjustedCurves::adjustedcif(...) 4. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 6. │ └─base::do.call(.fcn, args = args, envir = envir) 7. └─adjustedCurves (local) `<fn>`(...) 8. └─adjustedCurves:::method_direct_pseudo(...) 9. └─adjustedCurves:::calc_pseudo_surv(...) 10. ├─prodlim::jackknife(...) 11. └─prodlim::prodlim(hist_formula, data = data) 12. └─prodlim::EventHistory.frame(...) 13. └─prodlim::model.design(...) 14. └─stats::delete.response(terms) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:127:3'): > 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:127:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:142:3'): > 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:142:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_direct_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:159:3'): > 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:159:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_direct_pseudo.r:178:3'): > 2 treatments, no conf_int, no boot, with times, type_time='factor' ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_direct_pseudo.r:178:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_g_comp.r:13:1'): (code run outside of `test_that()`) ─────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─riskRegression::FGR(...) at test_cif_g_comp.r:13:1 2. └─prodlim::EventHistory.frame(...) 3. └─prodlim::model.design(...) 4. └─stats::delete.response(terms) 5. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw.r:14:3'): 2 treatments, no conf_int, no boot ────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw.r:14:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 8. └─riskRegression (local) `<fn>`(...) 9. └─base::lapply(...) 10. └─riskRegression (local) FUN(X[[i]], ...) 11. ├─riskRegression::predictRisk(...) 12. └─riskRegression:::predictRisk.coxph(...) 13. └─riskRegression::predictCox(...) 14. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 15. └─stats::delete.response(...) 16. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw.r:28:3'): 2 treatments, with conf_int, no boot ──────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw.r:28:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─riskRegression::iidCox(...) 8. └─riskRegression:::iidCox.coxph(...) 9. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 10. └─stats::delete.response(...) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw.r:42:3'): 2 treatments, no conf_int, with boot ──────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw.r:42:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. └─base::lapply(...) 11. └─riskRegression (local) FUN(X[[i]], ...) 12. ├─riskRegression::predictRisk(...) 13. └─riskRegression:::predictRisk.coxph(...) 14. └─riskRegression::predictCox(...) 15. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 16. └─stats::delete.response(...) 17. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw.r:58:3'): 2 treatments, with conf_int, with boot ────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw.r:58:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. └─base::lapply(...) 11. └─riskRegression (local) FUN(X[[i]], ...) 12. ├─riskRegression::predictRisk(...) 13. └─riskRegression:::predictRisk.coxph(...) 14. └─riskRegression::predictCox(...) 15. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 16. └─stats::delete.response(...) 17. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:15:3'): 2 treatments, no conf_int, no boot ─── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:15:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:29:3'): 2 treatments, with conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:29:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:43:3'): 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:43:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:59:3'): 2 treatments, with conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:59:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:75:3'): 2 treatments, no conf_int, with WeightIt ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:75:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:91:3'): 2 treatments, no conf_int, with user-weights ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:91:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:111:3'): 3 ways of iptw calculation are equal ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:111:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:182:3'): works with survival data ──────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test_cif_iptw_pseudo.r:182:3 2. │ └─base::withCallingHandlers(...) 3. └─adjustedCurves::adjustedcif(...) 4. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 6. │ └─base::do.call(.fcn, args = args, envir = envir) 7. └─adjustedCurves (local) `<fn>`(...) 8. └─adjustedCurves:::method_iptw_pseudo(...) 9. └─adjustedCurves:::calc_pseudo_surv(...) 10. ├─prodlim::jackknife(...) 11. └─prodlim::prodlim(hist_formula, data = data) 12. └─prodlim::EventHistory.frame(...) 13. └─prodlim::model.design(...) 14. └─stats::delete.response(terms) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:208:3'): > 2 treatments, no conf_int, no boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:208:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:222:3'): > 2 treatments, with conf_int, no boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:222:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:236:3'): > 2 treatments, no conf_int, with boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:236:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:252:3'): > 2 treatments, with conf_int, with boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:252:3 2. └─adjustedCurves:::adjustedcif_boot(...) 3. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_cif_iptw_pseudo.r:281:3'): > 2 treatments, no conf_int, with user-weights ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedcif(...) at test_cif_iptw_pseudo.r:281:3 2. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_general_stuff.r:104:3'): adjustedsurv, aiptw, with n_cores = 2 ── Error in `{ { rngtools::RNGseed(.doRNG.stream) } { adjustedsurv_boot(data = data, variable = variable, ev_time = ev_time, event = event, method = method, times = times, i = i, surv_fun = surv_fun, na.action = na.action, force_bounds = force_bounds, iso_reg = iso_reg, ...) } }`: task 1 failed - "subscript out of bounds" Backtrace: ▆ 1. ├─adjustedCurves:::quiet(...) at test_general_stuff.r:104:3 2. │ └─base::force(x) 3. └─adjustedCurves::adjustedsurv(...) 4. ├─... %dorng% ... 5. │ └─base::do.call(`%dopar%`, list(obj, ex), envir = parent.frame()) 6. └─foreach (local) `<fn>`(...) 7. └─e$fun(obj, substitute(ex), parent.frame(), e$data) ── Error ('test_general_stuff.r:143:3'): adjustedcif, aiptw, with n_cores = 2 ── Error in `{ { rngtools::RNGseed(.doRNG.stream) } { adjustedcif_boot(data = data, variable = variable, ev_time = ev_time, event = event, method = method, times = times, i = i, cif_fun = cif_fun, cause = cause, na.action = na.action, force_bounds = force_bounds, iso_reg = iso_reg, ...) } }`: task 1 failed - "subscript out of bounds" Backtrace: ▆ 1. ├─adjustedCurves:::quiet(...) at test_general_stuff.r:143:3 2. │ └─base::force(x) 3. ├─base::suppressWarnings(...) 4. │ └─base::withCallingHandlers(...) 5. └─adjustedCurves::adjustedcif(...) 6. ├─... %dorng% ... 7. │ └─base::do.call(`%dopar%`, list(obj, ex), envir = parent.frame()) 8. └─foreach (local) `<fn>`(...) 9. └─e$fun(obj, substitute(ex), parent.frame(), e$data) ── Error ('test_general_stuff.r:257:3'): adjustedsurv, using force_bounds and iso_reg with bootstrapping ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_general_stuff.r:257:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_general_stuff.r:296:3'): adjustedcif, using force_bounds and iso_reg with bootstrapping ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test_general_stuff.r:296:3 2. │ └─base::withCallingHandlers(...) 3. └─adjustedCurves::adjustedcif(...) 4. └─adjustedCurves:::adjustedcif_boot(...) 5. ├─R.utils::doCall(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 6. ├─R.utils::doCall.default(cif_fun, args = args, .ignoreUnusedArgs = FALSE) 7. │ └─base::do.call(.fcn, args = args, envir = envir) 8. └─adjustedCurves (local) `<fn>`(...) 9. └─adjustedCurves:::method_iptw_pseudo(...) 10. └─adjustedCurves:::calc_pseudo_surv(...) 11. ├─prodlim::jackknife(...) 12. └─prodlim::prodlim(hist_formula, data = data) 13. └─prodlim::EventHistory.frame(...) 14. └─prodlim::model.design(...) 15. └─stats::delete.response(terms) 16. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw.r:20:3'): 2 treatments, no conf_int, no boot ──────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw.r:20:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::cif_aiptw(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. └─base::lapply(...) 11. └─riskRegression (local) FUN(X[[i]], ...) 12. ├─riskRegression::predictRisk(...) 13. └─riskRegression:::predictRisk.coxph(...) 14. └─riskRegression::predictCox(...) 15. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 16. └─stats::delete.response(...) 17. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw.r:34:3'): 2 treatments, with conf_int, no boot ────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw.r:34:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::cif_aiptw(...) 7. └─riskRegression::ate(...) 8. ├─riskRegression::iidCox(...) 9. └─riskRegression:::iidCox.coxph(...) 10. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 11. └─stats::delete.response(...) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw.r:48:3'): 2 treatments, no conf_int, with boot ────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw.r:48:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::cif_aiptw(...) 8. └─riskRegression::ate(...) 9. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 10. └─riskRegression (local) `<fn>`(...) 11. └─base::lapply(...) 12. └─riskRegression (local) FUN(X[[i]], ...) 13. ├─riskRegression::predictRisk(...) 14. └─riskRegression:::predictRisk.coxph(...) 15. └─riskRegression::predictCox(...) 16. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 17. └─stats::delete.response(...) 18. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw.r:64:3'): 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw.r:64:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::cif_aiptw(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. └─base::lapply(...) 11. └─riskRegression (local) FUN(X[[i]], ...) 12. ├─riskRegression::predictRisk(...) 13. └─riskRegression:::predictRisk.coxph(...) 14. └─riskRegression::predictCox(...) 15. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 16. └─stats::delete.response(...) 17. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw.r:83:3'): 2 treatments, no conf_int, no boot, with times, with cens_mod ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw.r:83:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::cif_aiptw(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. └─base::lapply(...) 11. └─riskRegression (local) FUN(X[[i]], ...) 12. ├─riskRegression::predictRisk(...) 13. └─riskRegression:::predictRisk.coxph(...) 14. └─riskRegression::predictCox(...) 15. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 16. └─stats::delete.response(...) 17. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:19:3'): 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:19:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:34:3'): 2 treatments, with conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:34:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:49:3'): 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:49:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_aiptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:66:3'): 2 treatments, no conf_int, no boot, with times, factor time ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:66:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:84:3'): 2 treatments, no conf_int, no boot, with times, ns time ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:84:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:103:3'): 2 treatments, with ps_scores supplied ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:103:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:129:3'): > 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:129:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:144:3'): > 2 treatments, with conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:144:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:159:3'): > 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:159:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_aiptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_aiptw_pseudo.r:176:3'): > 2 treatments, no conf_int, no boot, with times, factor time ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_aiptw_pseudo.r:176:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_aiptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:16:3'): 2 treatments, no conf_int, no boot ─────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:16:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 8. └─riskRegression (local) `<fn>`(...) 9. ├─riskRegression::predictRisk(...) 10. └─riskRegression:::predictRisk.coxph(...) 11. └─riskRegression::predictCox(...) 12. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 13. └─stats::delete.response(...) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:29:3'): 2 treatments, with conf_int, no boot ───── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:29:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─riskRegression::iidCox(...) 8. └─riskRegression:::iidCox.coxph(...) 9. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 10. └─stats::delete.response(...) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:42:3'): 2 treatments, no conf_int, with boot ───── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:42:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. ├─riskRegression::predictRisk(...) 11. └─riskRegression:::predictRisk.coxph(...) 12. └─riskRegression::predictCox(...) 13. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 14. └─stats::delete.response(...) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:57:3'): 2 treatments, with conf_int, with boot ─── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:57:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. ├─riskRegression::predictRisk(...) 11. └─riskRegression:::predictRisk.coxph(...) 12. └─riskRegression::predictCox(...) 13. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 14. └─stats::delete.response(...) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:72:3'): 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:72:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. ├─riskRegression::predictRisk(...) 11. └─riskRegression:::predictRisk.coxph(...) 12. └─riskRegression::predictCox(...) 13. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 14. └─stats::delete.response(...) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:101:3'): > 2 treatments, no conf_int, no boot ──── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:101:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 8. └─riskRegression (local) `<fn>`(...) 9. ├─riskRegression::predictRisk(...) 10. └─riskRegression:::predictRisk.coxph(...) 11. └─riskRegression::predictCox(...) 12. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 13. └─stats::delete.response(...) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:114:3'): > 2 treatments, with conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:114:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─riskRegression::iidCox(...) 8. └─riskRegression:::iidCox.coxph(...) 9. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 10. └─stats::delete.response(...) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:127:3'): > 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:127:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. ├─riskRegression::predictRisk(...) 11. └─riskRegression:::predictRisk.coxph(...) 12. └─riskRegression::predictCox(...) 13. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 14. └─stats::delete.response(...) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:142:3'): > 2 treatments, with conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:142:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─riskRegression::ate(...) 8. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 9. └─riskRegression (local) `<fn>`(...) 10. ├─riskRegression::predictRisk(...) 11. └─riskRegression:::predictRisk.coxph(...) 12. └─riskRegression::predictCox(...) 13. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 14. └─stats::delete.response(...) 15. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:157:3'): > 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct.r:157:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─base::do.call(fct.pointEstimate, args.pointEstimate) 8. └─riskRegression (local) `<fn>`(...) 9. ├─riskRegression::predictRisk(...) 10. └─riskRegression:::predictRisk.coxph(...) 11. └─riskRegression::predictCox(...) 12. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 13. └─stats::delete.response(...) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct.r:184:1'): (code run outside of `test_that()`) ───── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─riskRegression::riskRegression(...) at test_surv_direct.r:184:1 2. └─prodlim::EventHistory.frame(...) 3. └─prodlim::model.design(...) 4. └─stats::delete.response(terms) 5. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:13:3'): 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:13:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:27:3'): 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:27:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_direct_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:43:3'): 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:43:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_direct_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:61:3'): 2 treatments, no conf_int, no boot, with times, type_time='factor' ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:61:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:79:5'): 2 treatments, no conf_int, no boot, with times, type_time='ns' ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:79:5 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:97:3'): > 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:97:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:111:3'): > 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:111:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_direct_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:127:3'): > 2 treatments, no conf_int, no boot, with times ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:127:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_direct_pseudo.r:145:3'): > 2 treatments, no conf_int, no boot, with times, type_time='factor' ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_direct_pseudo.r:145:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_direct_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:15:3'): 2 treatments, no conf_int, no boot ──── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:15:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::fit_censoring_model(...) 7. └─survival::basehaz(fit, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:29:3'): 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:29:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::fit_censoring_model(...) 8. └─survival::basehaz(fit, centered = FALSE) 9. ├─survival::survfit(fit, se.fit = FALSE) 10. └─survival:::survfit.coxph(fit, se.fit = FALSE) 11. └─survival:::model.matrix.coxph(object, data = mf) 12. └─stats::delete.response(object$terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:45:3'): 2 treatments, no conf_int, with WeightIt ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:45:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::fit_censoring_model(...) 7. └─survival::basehaz(fit, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:61:3'): 2 treatments, no conf_int, with WeightIt + additional args ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:61:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::fit_censoring_model(...) 7. └─survival::basehaz(fit, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:95:3'): 2 treatments, no conf_int, with user-weights ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:95:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::fit_censoring_model(...) 7. └─survival::basehaz(fit, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:110:3'): use trim_quantiles ─────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:110:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::fit_censoring_model(...) 8. └─survival::basehaz(fit, centered = FALSE) 9. ├─survival::survfit(fit, se.fit = FALSE) 10. └─survival:::survfit.coxph(fit, se.fit = FALSE) 11. └─survival:::model.matrix.coxph(object, data = mf) 12. └─stats::delete.response(object$terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:125:3'): changing the Cox model specification ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:125:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::fit_censoring_model(...) 8. └─survival::basehaz(fit, centered = FALSE) 9. ├─survival::survfit(fit, se.fit = FALSE) 10. └─survival:::survfit.coxph(fit, se.fit = FALSE) 11. └─survival:::model.matrix.coxph(object, data = mf) 12. └─stats::delete.response(object$terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:152:3'): > 2 treatments, no conf_int, no boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:152:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::fit_censoring_model(...) 7. └─survival::basehaz(fit, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cens.r:182:3'): > 2 treatments, no conf_int, with user-weights ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cens.r:182:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::fit_censoring_model(...) 7. └─survival::basehaz(fit, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:16:3'): 2 treatments, no boot ────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:16:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 7. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::model.matrix.coxph(object, data = mf) 9. └─stats::delete.response(object$terms) 10. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:29:3'): 2 treatments, with boot ──────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:29:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 9. └─survival:::model.matrix.coxph(object, data = mf) 10. └─stats::delete.response(object$terms) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:44:3'): 2 treatments, with WeightIt ──────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:44:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 7. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::model.matrix.coxph(object, data = mf) 9. └─stats::delete.response(object$terms) 10. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:59:3'): 2 treatments, with user-weights ──────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:59:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 7. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::model.matrix.coxph(object, data = mf) 9. └─stats::delete.response(object$terms) 10. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:78:3'): 3 ways of iptw calculation are equal ─── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:78:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 7. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::model.matrix.coxph(object, data = mf) 9. └─stats::delete.response(object$terms) 10. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:142:3'): > 2 treatments, no boot, no ... ─────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:142:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 7. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::model.matrix.coxph(object, data = mf) 9. └─stats::delete.response(object$terms) 10. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:155:3'): > 2 treatments, with boot, no ... ───── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:155:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 9. └─survival:::model.matrix.coxph(object, data = mf) 10. └─stats::delete.response(object$terms) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_cox.r:183:3'): > 2 treatments, with user-weights ───── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_cox.r:183:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. ├─survival::survfit(model, se.fit = FALSE, conf.int = conf_level) 7. └─survival:::survfit.coxph(model, se.fit = FALSE, conf.int = conf_level) 8. └─survival:::model.matrix.coxph(object, data = mf) 9. └─stats::delete.response(object$terms) 10. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:15:3'): 2 treatments, no conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:15:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:28:3'): 2 treatments, with conf_int, no boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:28:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:41:3'): 2 treatments, no conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:41:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:56:3'): 2 treatments, with conf_int, with boot ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:56:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:71:3'): 2 treatments, no conf_int, with WeightIt ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:71:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:86:3'): 2 treatments, no conf_int, with user-weights ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:86:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:120:3'): 3 ways of iptw calculation are equal ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:120:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:190:3'): > 2 treatments, no conf_int, no boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:190:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:203:3'): > 2 treatments, with conf_int, no boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:203:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:216:3'): > 2 treatments, no conf_int, with boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:216:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:231:3'): > 2 treatments, with conf_int, with boot, no ... ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:231:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─adjustedCurves:::method_iptw_pseudo(...) 8. └─adjustedCurves:::calc_pseudo_surv(...) 9. ├─prodlim::jackknife(...) 10. └─prodlim::prodlim(hist_formula, data = data) 11. └─prodlim::EventHistory.frame(...) 12. └─prodlim::model.design(...) 13. └─stats::delete.response(terms) 14. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iptw_pseudo.r:259:3'): > 2 treatments, no conf_int, with user-weights ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iptw_pseudo.r:259:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─adjustedCurves:::method_iptw_pseudo(...) 7. └─adjustedCurves:::calc_pseudo_surv(...) 8. ├─prodlim::jackknife(...) 9. └─prodlim::prodlim(hist_formula, data = data) 10. └─prodlim::EventHistory.frame(...) 11. └─prodlim::model.design(...) 12. └─stats::delete.response(terms) 13. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iv_2SRIF.r:41:3'): general case ─────────────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iv_2SRIF.r:41:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─survival::basehaz(cox_tsrif, centered = FALSE) 7. ├─survival::survfit(fit, se.fit = FALSE) 8. └─survival:::survfit.coxph(fit, se.fit = FALSE) 9. └─survival:::model.matrix.coxph(object, data = mf) 10. └─stats::delete.response(object$terms) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iv_2SRIF.r:53:3'): with bootstrapping ───────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iv_2SRIF.r:53:3 2. └─adjustedCurves:::adjustedsurv_boot(...) 3. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 5. │ └─base::do.call(.fcn, args = args, envir = envir) 6. └─adjustedCurves (local) `<fn>`(...) 7. └─survival::basehaz(cox_tsrif, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iv_2SRIF.r:67:3'): multiple adjust_vars ─────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iv_2SRIF.r:67:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─survival::basehaz(cox_tsrif, centered = FALSE) 7. ├─survival::survfit(fit, se.fit = FALSE) 8. └─survival:::survfit.coxph(fit, se.fit = FALSE) 9. └─survival:::model.matrix.coxph(object, data = mf) 10. └─stats::delete.response(object$terms) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iv_2SRIF.r:79:3'): multiple adjust_vars with a factor variable ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iv_2SRIF.r:79:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─survival::basehaz(cox_tsrif, centered = FALSE) 7. ├─survival::survfit(fit, se.fit = FALSE) 8. └─survival:::survfit.coxph(fit, se.fit = FALSE) 9. └─survival:::model.matrix.coxph(object, data = mf) 10. └─stats::delete.response(object$terms) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test_surv_iv_2SRIF.r:91:3'): no adjust_vars ───────────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) at test_surv_iv_2SRIF.r:91:3 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─survival::basehaz(cox_tsrif, centered = FALSE) 7. ├─survival::survfit(fit, se.fit = FALSE) 8. └─survival:::survfit.coxph(fit, se.fit = FALSE) 9. └─survival:::model.matrix.coxph(object, data = mf) 10. └─stats::delete.response(object$terms) 11. └─stats (local) off(a$specials[[i]]) [ FAIL 124 | WARN 0 | SKIP 171 | PASS 1013 ] Error: ! Test failures. Warning messages: 1: In for (i in ind) init <- forceAndCall(2, f, init, x[[i]]) : closing unused connection 7 (<-localhost:11510) 2: In for (i in ind) init <- forceAndCall(2, f, init, x[[i]]) : closing unused connection 6 (<-localhost:11510) Execution halted Error in unserialize(node$con) : error reading from connection '->localhost:11510' Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize In addition: Warning messages: 1: In coxph.fit(X, Y, istrat, offset, init, control, weights = weights, : Loglik converged before variable 1 ; coefficient may be infinite. 2: In ate_checkArgs(call = call, object.event = object.event, object.censor = object.censor, : Rare event Execution halted Error in unserialize(node$con) : error reading from connection '->localhost:11510' Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize In addition: Warning messages: 1: In coxph.fit(X, Y, istrat, offset, init, control, weights = weights, : Ran out of iterations and did not converge 2: In coxph.fit(X, Y, istrat, offset, init, control, weights = weights, : Loglik converged before variable 1 ; coefficient may be infinite. 3: In ate_checkArgs(call = call, object.event = object.event, object.censor = object.censor, : Rare event Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.12.0
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘adjustedCurves.Rmd’ using rmarkdown Quitting from adjustedCurves.Rmd:72-80 [unnamed-chunk-5] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `a$specials[[i]]`: ! subscript out of bounds --- Backtrace: ▆ 1. └─adjustedCurves::adjustedsurv(...) 2. ├─R.utils::doCall(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 3. ├─R.utils::doCall.default(surv_fun, args = args, .ignoreUnusedArgs = FALSE) 4. │ └─base::do.call(.fcn, args = args, envir = envir) 5. └─adjustedCurves (local) `<fn>`(...) 6. └─riskRegression::ate(...) 7. ├─riskRegression::iidCox(...) 8. └─riskRegression:::iidCox.coxph(...) 9. └─riskRegression::coxVariableName(object, model.frame = object.modelFrame) 10. └─stats::delete.response(...) 11. └─stats (local) off(a$specials[[i]]) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'adjustedCurves.Rmd' failed with diagnostics: subscript out of bounds --- failed re-building ‘adjustedCurves.Rmd’ --- re-building ‘comparing_groups.rmd’ using rmarkdown [WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead. --- finished re-building ‘comparing_groups.rmd’ --- re-building ‘faq.rmd’ using rmarkdown [WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead. --- finished re-building ‘faq.rmd’ --- re-building ‘method_overview.rmd’ using rmarkdown [WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead. --- finished re-building ‘method_overview.rmd’ --- re-building ‘plot_customization.rmd’ using rmarkdown [WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead. --- finished re-building ‘plot_customization.rmd’ SUMMARY: processing the following file failed: ‘adjustedCurves.Rmd’ Error: Vignette re-building failed. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc