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
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survmixer.pdf |survmixer.html✨
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 195 downloads 13 exports 0 dependencies

Last updated 4 years agofrom:c9b37e7796. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winOKFeb 20 2025
R-4.5-macOKFeb 20 2025
R-4.5-linuxOKFeb 20 2025
R-4.4-winOKFeb 20 2025
R-4.4-macOKFeb 20 2025
R-4.3-winOKFeb 20 2025
R-4.3-macOKFeb 20 2025

Exports:inside_varmeanw_fmedianw_fparam_scalermstw_fscale1_taylorfsurvm_effectsizesurvm_samplesizesurvmixture_fsurvw_derivfsurvw_fsurvw_integratefvar_f

Dependencies: