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) <doi:10.48550/arXiv.2008.12887>.

Version:	1.3
Imports:	stats
Published:	2021-03-31
Author:	Marta Bofill Roig [aut, cre], Guadalupe Gomez Melis [ctb], Yu Shen [ctb]
Maintainer:	Marta Bofill Roig <marta.bofillroig at meduniwien.ac.at>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	survmixer results

Documentation:

Reference manual:

survmixer.pdf

Downloads:

Package source:	survmixer_1.3.tar.gz
Windows binaries:	r-prerel: survmixer_1.3.zip, r-release: survmixer_1.3.zip, r-oldrel: survmixer_1.3.zip
macOS binaries:	r-prerel (arm64): survmixer_1.3.tgz, r-release (arm64): survmixer_1.3.tgz, r-oldrel (arm64): survmixer_1.3.tgz, r-prerel (x86_64): survmixer_1.3.tgz, r-release (x86_64): survmixer_1.3.tgz

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