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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-devel: survmixer_1.3.zip, r-release: survmixer_1.3.zip, r-oldrel: survmixer_1.3.zip
macOS binaries: r-release (arm64): survmixer_1.3.tgz, r-oldrel (arm64): survmixer_1.3.tgz, r-release (x86_64): survmixer_1.3.tgz, r-oldrel (x86_64): survmixer_1.3.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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