Package: trtswitch 0.1.1

trtswitch: Treatment Switching

Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.

Authors:Kaifeng Lu [aut, cre]

trtswitch_0.1.1.tar.gz
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trtswitch.pdf |trtswitch.html✨
trtswitch/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/kaifenglu/trtswitch/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

    On CRAN:

    2.00 score 12 downloads 17 exports 1 dependencies

    Last updated 4 days agofrom:9ba4ff1fd9. Checks:OK: 1 ERROR: 8. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKOct 19 2024
    R-4.5-win-x86_64ERROROct 19 2024
    R-4.5-linux-x86_64ERROROct 19 2024
    R-4.4-win-x86_64ERROROct 19 2024
    R-4.4-mac-x86_64ERROROct 19 2024
    R-4.4-mac-aarch64ERROROct 19 2024
    R-4.3-win-x86_64ERROROct 19 2024
    R-4.3-mac-x86_64ERROROct 19 2024
    R-4.3-mac-aarch64ERROROct 19 2024

    Exports:ipcwipeliferegrlogisregrmakepredictcall.bscppmakepredictcall.nscppphregrpredict.bscpppredict.nscppprint.liferegrprint.logisregrprint.phregrresiduals_phregrrpsftmsurvfit_phregrtsegesttsesimp

    Dependencies:Rcpp