Introduction

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CompAREdesign R package

The CompAREdesign package contains the following functions:

• prob_cbe to compute the probability of a composite binary endpoint;
  
• lower_corr to compute the lower bound of Pearson’s correlation;
• upper_corr to compute the upper bound for Pearson’s correlation;
• effectsize_cbe to compute the treatment effect on the composite binary endpoint;
• samplesize_cbe to compute the sample size for composite binary endpoint;
• ARE_cbe to compute the ARE method for composite binary endpoint;
• surv_tte to compute the survival function for the composite endpoint and both components;
• effectsize_tte to compute the treatment effect for the composite endpoint;
• samplesize_tte to compute the sample size for the composite endpoint;
• ARE_tte to compute the ARE method for time-to-event endpoints;
• plot_tte Returns four plots related to previous features;
• simula_tte to simulate time-to-event data for the composite and its components.

Installation

require(devtools)
install_github("CompARE-Composite/CompARE-package") #developers version

install.packages("CompAREdesign") #stable version from CRAN
library(CompAREdesign)

References

• Jordi Cortes-Martinez, Marta Bofill Roig, Guadalupe Gómez Melis (2022). Design of Trials with Composite Endpoints with the R Package CompAREdesign. [Preprint].