CompAREdesign: Statistical Functions for the Design of Studies with Composite Endpoints

It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. It also calculates the expected effect and the probability of observing the composite endpoint, among others. The methodology can be found in Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.

Version:	2.4.0
Imports:	stats, utils, copula, ggplot2, ggpubr, rootSolve, numDeriv
Suggests:	knitr, rmarkdown
Published:	2025-03-05
DOI:	10.32614/CRAN.package.CompAREdesign
Author:	Marta Bofill Roig [aut, cre], Jordi Cortes Martinez [aut], Guadalupe Gomez Melis [ctb]
Maintainer:	Marta Bofill Roig <marta.bofill.roig at upc.edu>
License:	GPL-3
URL:	https://compare-composite.github.io/compare/
NeedsCompilation:	no
CRAN checks:	CompAREdesign results

Documentation:

Reference manual:	CompAREdesign.html , CompAREdesign.pdf
Vignettes:	Binary endpoints (source, R code) Simulations (source, R code) Time-to-event endpoints (source, R code)

Downloads:

Package source:	CompAREdesign_2.4.0.tar.gz
Windows binaries:	r-devel: CompAREdesign_2.4.0.zip, r-release: CompAREdesign_2.4.0.zip, r-oldrel: CompAREdesign_2.4.0.zip
macOS binaries:	r-release (arm64): CompAREdesign_2.4.0.tgz, r-oldrel (arm64): CompAREdesign_2.4.0.tgz, r-release (x86_64): CompAREdesign_2.4.0.tgz, r-oldrel (x86_64): CompAREdesign_2.4.0.tgz
Old sources:	CompAREdesign archive

Reverse dependencies:

Reverse imports:

eselect

Linking:

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