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rpsftm: Rank Preserving Structural Failure Time Models

Implements methods described by the paper Robins and Tsiatis (1991) <doi:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.

Version:1.2.9
Depends:R (≥ 2.10)
Imports:ggplot2, stats,survival
Suggests:knitr,rmarkdown,tableone,testthat
Published:2024-03-12
DOI:10.32614/CRAN.package.rpsftm
Author:Simon Bond [aut, cre] (primary author of code, secondary author of vignette), Annabel Allison [aut] (primary author of vignette, secondary author of code)
Maintainer:Simon Bond <simon.bond7 at nhs.net>
License:GPL-2
NeedsCompilation:no
Language:en-GB
Materials:README,NEWS
In views:CausalInference,ClinicalTrials
CRAN checks:rpsftm results

Documentation:

Reference manual:rpsftm.html ,rpsftm.pdf
Vignettes:rpsftm: rank-preserving structural failure time models for survival data (source,R code)

Downloads:

Package source: rpsftm_1.2.9.tar.gz
Windows binaries: r-devel:rpsftm_1.2.9.zip, r-release:rpsftm_1.2.9.zip, r-oldrel:rpsftm_1.2.9.zip
macOS binaries: r-release (arm64):rpsftm_1.2.9.tgz, r-oldrel (arm64):rpsftm_1.2.9.tgz, r-release (x86_64):rpsftm_1.2.9.tgz, r-oldrel (x86_64):rpsftm_1.2.9.tgz
Old sources: rpsftm archive

Linking:

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