Package: trtswitch 0.1.4
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.
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trtswitch_0.1.4.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')) |
Bug tracker:https://github.com/kaifenglu/trtswitch/issues
Last updated 11 hours agofrom:8306049617. Checks:12 ERROR. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | FAIL | Apr 03 2025 |
R-4.5-win-x86_64 | ERROR | Apr 03 2025 |
R-4.5-mac-x86_64 | ERROR | Apr 03 2025 |
R-4.5-mac-aarch64 | ERROR | Apr 03 2025 |
R-4.5-linux-x86_64 | ERROR | Apr 03 2025 |
R-4.4-win-x86_64 | ERROR | Apr 03 2025 |
R-4.4-mac-x86_64 | ERROR | Apr 03 2025 |
R-4.4-mac-aarch64 | ERROR | Apr 03 2025 |
R-4.4-linux-x86_64 | ERROR | Apr 03 2025 |
R-4.3-win-x86_64 | ERROR | Apr 03 2025 |
R-4.3-mac-x86_64 | ERROR | Apr 03 2025 |
R-4.3-mac-aarch64 | ERROR | Apr 03 2025 |
Exports:ipcwipeliferegrlogisregrmakepredictcall.bscppmakepredictcall.nscppphregrpredict.bscpppredict.nscppprint.liferegrprint.logisregrprint.phregrresiduals_phregrrpsftmsurvfit_phregrtsegesttsesimp
Dependencies:Rcpp
Readme and manuals
Help Manual
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