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: 2.3.1
Imports: stats, utils, copula, ggplot2, ggpubr, rootSolve, numDeriv
Published: 2024-02-15
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.bofillroig at>
License: GPL-3
NeedsCompilation: no
CRAN checks: CompAREdesign results


Reference manual: CompAREdesign.pdf


Package source: CompAREdesign_2.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CompAREdesign_2.3.1.tgz, r-oldrel (arm64): CompAREdesign_2.3.1.tgz, r-release (x86_64): CompAREdesign_2.3.1.tgz, r-oldrel (x86_64): CompAREdesign_2.3.1.tgz
Old sources: CompAREdesign archive

Reverse dependencies:

Reverse imports: eselect


Please use the canonical form to link to this page.