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: 1.2.0
Depends: R (≥ 2.10)
Imports: survival, rootSolve, ggplot2, stats
Suggests: testthat, knitr, rmarkdown, tableone
Published: 2017-09-22
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
Materials: README NEWS
CRAN checks: rpsftm results


Reference manual: rpsftm.pdf
Vignettes: rpsftm: rank-preserving structural failure time models for survival data
Package source: rpsftm_1.2.0.tar.gz
Windows binaries: r-devel: rpsftm_1.2.0.zip, r-release: rpsftm_1.2.0.zip, r-oldrel: rpsftm_1.2.0.zip
OS X El Capitan binaries: r-release: rpsftm_1.2.0.tgz
OS X Mavericks binaries: r-oldrel: rpsftm_1.2.0.tgz
Old sources: rpsftm archive


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