BUCSS: Bias and Uncertainty Corrected Sample Size

Implements sample size planning for a future study from the summary statistics of a prior study, correcting the prior effect for publication bias and uncertainty so the planned study attains its target statistical power more reliably than methods that take a sample effect size at face value. Planners cover the one-sample, paired, independent, and Welch t tests; between-subjects analysis of variance and covariance; within-subjects and split-plot analysis of variance; a regression coefficient, the squared multiple correlation, and a subset of predictors; the Pearson correlation; a two-group multivariate comparison; and the chi square difference between nested models. The regression planners can treat the predictors as fixed or as sampled, the within-subjects and split-plot planners accept a sphericity correction, and each plan reports the effect size it is built on. A simulation function audits how often a plan attains its target power. The method is described in Anderson, Kelley, and Maxwell (2017) <doi:10.1177/0956797617723724> and extended to replication studies in Anderson and Kelley (2024) <doi:10.1037/met0000520>.

Version: 2.0.0
Depends: R (≥ 3.6.0)
Imports: generics, graphics, stats, withr (≥ 3.0.3)
Suggests: testthat (≥ 3.1.7), knitr, rmarkdown
Published: 2026-10-13
DOI: 10.32614/CRAN.package.BUCSS
Author: Ken Kelley ORCID iD [aut, cre], Samantha F. Anderson ORCID iD [aut], Scott E. Maxwell ORCID iD [aut]
Maintainer: Ken Kelley <kkelley at nd.edu>
BugReports: https://github.com/yelleKneK/BUCSS/issues
License: GPL (≥ 3)
URL: https://github.com/yelleKneK/BUCSS, https://yelleKneK.github.io/BUCSS/, https://designingexperiments.com
NeedsCompilation: no
Language: en-US
Citation: BUCSS citation info
Materials: README, NEWS
CRAN checks: BUCSS results

Documentation:

Reference manual: BUCSS.html , BUCSS.pdf
Vignettes: Getting Started With BUCSS (source, R code)
Planning a Correlation Study (source, R code)
Planning Replication Studies (source, R code)
Reading and Using BUCSS Output (source, R code)
Assurance and the Publication Bias Correction (source, R code)
Worked Examples Across Designs (source, R code)

Downloads:

Package source: BUCSS_2.0.0.tar.gz
Windows binaries: r-devel: BUCSS_1.2.1.zip, r-release: BUCSS_1.2.1.zip, r-oldrel: BUCSS_2.0.0.zip
macOS binaries: r-release (arm64): BUCSS_2.0.0.tgz, r-oldrel (arm64): BUCSS_2.0.0.tgz, r-release (x86_64): BUCSS_2.0.0.tgz, r-oldrel (x86_64): BUCSS_2.0.0.tgz
Old sources: BUCSS archive

Linking:

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