Cyclops: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis

This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.

Version: 3.4.1
Depends: R (≥ 3.5.0)
Imports: rlang, Matrix, Rcpp (≥ 0.12.12), Andromeda (≥ 0.3.1), dplyr, methods, survival, bit64
LinkingTo: Rcpp, RcppEigen (≥ 0.3.2), RcppParallel
Suggests: testthat, readr, MASS, gnm, ggplot2, microbenchmark, cmprsk
Published: 2024-06-06
DOI: 10.32614/CRAN.package.Cyclops
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] (provided the TinyThread library), Rutgers University [cph, ctb] (provided the HParSearch routine), R Development Core Team [cph, ctb] (provided the ZeroIn routine)
Maintainer: Marc A. Suchard <msuchard at ucla.edu>
BugReports: https://github.com/ohdsi/cyclops/issues
License: Apache License 2.0
URL: https://github.com/ohdsi/cyclops
NeedsCompilation: yes
Citation: Cyclops citation info
Materials: README NEWS
In views: Survival
CRAN checks: Cyclops results

Documentation:

Reference manual: Cyclops.pdf

Downloads:

Package source: Cyclops_3.4.1.tar.gz
Windows binaries: r-devel: Cyclops_3.4.1.zip, r-release: Cyclops_3.4.1.zip, r-oldrel: Cyclops_3.4.1.zip
macOS binaries: r-release (arm64): Cyclops_3.4.1.tgz, r-oldrel (arm64): Cyclops_3.4.1.tgz, r-release (x86_64): Cyclops_3.4.1.tgz, r-oldrel (x86_64): Cyclops_3.4.1.tgz
Old sources: Cyclops archive

Reverse dependencies:

Reverse depends: BrokenAdaptiveRidge, IterativeHardThresholding
Reverse imports: EvidenceSynthesis
Reverse suggests: EmpiricalCalibration

Linking:

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