CRAN/E | rpsftm

rpsftm

Rank Preserving Structural Failure Time Models

Installation

About

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.

Key Metrics

Version 1.2.9
R ≥ 2.10
Published 2024-03-12 53 days ago
Needs compilation? no
License GPL-2
CRAN checks rpsftm results
Language en-GB

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Maintainer

Maintainer

Simon Bond

simon.bond7@nhs.net

Authors

Simon Bond

aut / cre

(primary author of code, secondary author of vignette)

Annabel Allison

aut

(primary author of vignette, secondary author of code)

Material

README
NEWS
Reference manual
Package source

In Views

CausalInference

Vignettes

rpsftm: rank-preserving structural failure time models for survival data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rpsftm archive

Depends

R ≥ 2.10

Imports

ggplot2
stats
survival

Suggests

knitr
rmarkdown
tableone
testthat