Package: ipcwswitch 1.0.4

ipcwswitch: Inverse Probability of Censoring Weights to Deal with Treatment Switch in Randomized Clinical Trials

Contains functions for formatting clinical trials data and implementing inverse probability of censoring weights to handle treatment switches when estimating causal treatment effect in randomized clinical trials.

Authors:Nathalie Graffeo [aut, cre], Aurelien Latouche [aut], Sylvie Chevret [aut]

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ipcwswitch.pdf |ipcwswitch.html
ipcwswitch/json (API)

# Install 'ipcwswitch' in R:
install.packages('ipcwswitch', repos = c('https://ntlgrf.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • SHIdat - A real example dataset from the randomized clinical trial SHIVA
  • toydata - A short example dataset

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.60 score 2 stars 20 scripts 262 downloads 5 exports 3 dependencies

Last updated 4 years agofrom:d52676594d. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 24 2025
R-4.5-winOKFeb 24 2025
R-4.5-macOKFeb 24 2025
R-4.5-linuxOKFeb 24 2025
R-4.4-winOKFeb 24 2025
R-4.4-macOKFeb 24 2025
R-4.3-winOKFeb 24 2025
R-4.3-macOKFeb 24 2025

Exports:cens.ipwipcwreplicRowstimesTokeepwideToLongTDC

Dependencies:latticeMatrixsurvival