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CompAREdesign
View on CRAN: Click
here
Download and install CompAREdesign package within the R console
Install from CRAN:
install.packages("CompAREdesign")
Install from Github:
library("remotes")
install_github("cran/CompAREdesign") Install by package version:
library("remotes")
install_version("CompAREdesign", "2.4.0") Attach the package and use:
library("CompAREdesign")
Maintained by
Marta Bofill Roig
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-09
Latest Update: 2025-03-05
Description:
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 & G
How to cite:
Marta Bofill Roig (2020). CompAREdesign: Statistical Functions for the Design of Studies with Composite Endpoints. R package version 2.4.0, https://cran.r-project.org/web/packages/CompAREdesign. Accessed 08 Oct. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for CompAREdesign
Functions, R codes and Examples using
the CompAREdesign R package
Some associated functions: ARE_cbe . ARE_tte . CompAREdesign-package . CopulaSelection . MarginalsSelection . Sstar . Sstar_func_perc . dClayton . dFGM . dFrank . dGumbel . dNormal . effectsize_cbe . effectsize_tte . f_sim . freedman_formula . lower_corr . plot_tte . prob_cbe . samplesize_cbe . samplesize_tte . schoenfeld_formula . simula_cbe . simula_tte . surv_tte . upper_corr .
Some associated R codes: ARE_cbe.R . ARE_tte.R . CompARE-package.R . CopulaSelection.R . MarginalsSelection.R . SStar.R . Sstar_func_perc.R . dClayton.R . dFGM.R . dFrank.R . dGumbel.R . dNormal.R . effectsize_cbe.R . effectsize_tte.R . f_sim.R . freedman_formula.R . get_prob1.R . lower_corr.R . plot_tte.R . prob_cbe.R . sample_size_cbe.R . sample_size_tte.R . schoenfeld_formula.R . simula_cbe.R . simula_tte.R . surv_tte.R . upper_corr.R . Full CompAREdesign package functions and examples
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