PowerTOST: Power and Sample Size for (Bio)Equivalence Studies

Contains functions to calculate power and sample size for various study designs used in bioequivalence studies. Use known.designs() to see the designs supported. Power and sample size can be obtained based on different methods, amongst them prominently the TOST procedure (two one-sided t-tests). See README and NEWS for further information.

Version: 1.5-4
Imports: mvtnorm, stats, utils, graphics, grDevices, cubature (≥ 1.3-6), TeachingDemos
Suggests: crossdes, knitr, rmarkdown, tufte, emmeans
Published: 2022-02-21
Author: Detlew Labes ORCID iD [aut, cre], Helmut Schütz ORCID iD [aut], Benjamin Lang [aut]
Maintainer: Detlew Labes <DetlewLabes at gmx.de>
BugReports: https://github.com/Detlew/PowerTOST/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/Detlew/PowerTOST
NeedsCompilation: no
Materials: README NEWS
In views: ClinicalTrials
CRAN checks: PowerTOST results

Documentation:

Reference manual: PowerTOST.pdf
Vignettes: Average Bioequivalence
Dose-Proportionality
Non-Inferiority
Power Analysis
Reference-Scaled Average Bioequivalence
Main Vignette

Downloads:

Package source: PowerTOST_1.5-4.tar.gz
Windows binaries: r-devel: PowerTOST_1.5-4.zip, r-release: PowerTOST_1.5-4.zip, r-oldrel: PowerTOST_1.5-4.zip
macOS binaries: r-release (arm64): PowerTOST_1.5-4.tgz, r-oldrel (arm64): PowerTOST_1.5-4.tgz, r-release (x86_64): PowerTOST_1.5-4.tgz
Old sources: PowerTOST archive

Reverse dependencies:

Reverse depends: cTOST
Reverse imports: Power2Stage, replicateBE

Linking:

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