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.

Version: 0.1.2
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.9)
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), dplyr (≥ 1.1.4), geepack (≥ 1.3.12), ggplot2 (≥ 3.3.6), knitr (≥ 1.45), rmarkdown (≥ 2.25), survival (≥ 3.5-8)
Published: 2024-12-05
Author: Kaifeng Lu ORCID iD [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: trtswitch results

Documentation:

Reference manual: trtswitch.pdf
Vignettes: Inverse Probability of Censoring Weights (source, R code)
Iterative Parameter Estimation (source, R code)
Rank Preserving Structural Failure Time Models (source, R code)
Two-Stage Estimation With g-estimation (source, R code)
Simple Two-Stage Estimation (source, R code)

Downloads:

Package source: trtswitch_0.1.2.tar.gz
Windows binaries: r-devel: trtswitch_0.1.1.zip, r-release: trtswitch_0.1.1.zip, r-oldrel: trtswitch_0.1.1.zip
macOS binaries: r-release (arm64): trtswitch_0.1.1.tgz, r-oldrel (arm64): trtswitch_0.1.1.tgz, r-release (x86_64): trtswitch_0.1.1.tgz, r-oldrel (x86_64): trtswitch_0.1.1.tgz
Old sources: trtswitch archive

Linking:

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