survmixer: Design of Clinical Trials with Survival Endpoints Based on Binary Responses

Sample size and effect size calculations for survival endpoints based on mixture survival-by-response model. The methods implemented can be found in Bofill, Shen & Gómez (2021) <arXiv:2008.12887>.

Getting started

Package details

AuthorMarta Bofill Roig [aut, cre], Guadalupe Gomez Melis [ctb], Yu Shen [ctb]
MaintainerMarta Bofill Roig <marta.bofillroig@meduniwien.ac.at>
LicenseGPL-3
Version1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("survmixer")

Try the survmixer package in your browser

Any scripts or data that you put into this service are public.

survmixer documentation built on March 31, 2021, 9:08 a.m.