Package: survmixer 1.3

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>.

Authors:Marta Bofill Roig [aut, cre], Guadalupe Gomez Melis [ctb], Yu Shen [ctb]

survmixer_1.3.tar.gz
survmixer_1.3.zip(r-4.7)survmixer_1.3.zip(r-4.6)survmixer_1.3.zip(r-4.5)
survmixer_1.3.tgz(r-4.6-any)survmixer_1.3.tgz(r-4.5-any)
survmixer_1.3.tar.gz(r-4.7-any)survmixer_1.3.tar.gz(r-4.6-any)
survmixer_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
survmixer/json (API)

# Install 'survmixer' in R:
install.packages('survmixer', repos = c('https://martabofillroig.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/martabofillroig/survmixer/issues

On CRAN:

Conda:

2.70 score 176 downloads 13 exports 0 dependencies

Last updated from:c9b37e7796. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK140
linux-release-x86_64OK110
macos-release-arm64OK107
macos-oldrel-arm64OK194
windows-develOK192
windows-releaseOK61
windows-oldrelOK67
wasm-releaseOK91

Exports:inside_varmeanw_fmedianw_fparam_scalermstw_fscale1_taylorfsurvm_effectsizesurvm_samplesizesurvmixture_fsurvw_derivfsurvw_fsurvw_integratefvar_f

Dependencies: