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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:	0.1.1
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)
Published:	2024-11-02
DOI:	10.32614/CRAN.package.trtswitch
Author:	Kaifeng Lu [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_0.1.1.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.