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]

ipcwswitch_1.0.4.tar.gz
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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'))

Peer review:

Datasets:
  • SHIdat - A real example dataset from the randomized clinical trial SHIVA
  • toydata - A short example dataset

On CRAN:

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 193 downloads 5 exports 3 dependencies

Last updated 4 years agofrom:d52676594d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:cens.ipwipcwreplicRowstimesTokeepwideToLongTDC

Dependencies:latticeMatrixsurvival