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:	1.2.7
Depends:	R (≥ 2.10)
Imports:	survival, ggplot2, stats
Suggests:	testthat, knitr, rmarkdown, tableone
Published:	2020-04-25
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.bond at addenbrookes.nhs.uk>
License:	GPL-2
NeedsCompilation:	no
Language:	en-GB
Materials:	README NEWS
In views:	CausalInference
CRAN checks:	rpsftm results

Documentation:

Reference manual:	rpsftm.pdf
Vignettes:	rpsftm: rank-preserving structural failure time models for survival data

Downloads:

Package source:	rpsftm_1.2.7.tar.gz
Windows binaries:	r-devel: rpsftm_1.2.7.zip, r-release: rpsftm_1.2.7.zip, r-oldrel: rpsftm_1.2.7.zip
macOS binaries:	r-release (arm64): rpsftm_1.2.7.tgz, r-oldrel (arm64): rpsftm_1.2.7.tgz, r-release (x86_64): rpsftm_1.2.7.tgz, r-oldrel (x86_64): rpsftm_1.2.7.tgz
Old sources:	rpsftm archive

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