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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_2.0.0.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:

Please use the canonical form https://CRAN.R-project.org/package=BUCSS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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