Package: rpsftm 1.2.9

Simon Bond

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.

Authors:Simon Bond [aut, cre], Annabel Allison [aut]

rpsftm_1.2.9.tar.gz
rpsftm_1.2.9.tar.gz(r-4.5-noble)rpsftm_1.2.9.tar.gz(r-4.4-noble)
rpsftm_1.2.9.tgz(r-4.4-emscripten)rpsftm_1.2.9.tgz(r-4.3-emscripten)
rpsftm.pdf |rpsftm.html
rpsftm/json (API)
NEWS

# Install 'rpsftm' in R:
install.packages('rpsftm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.13 score 27 scripts 362 downloads 3 exports 29 dependencies

Last updated 9 months agofrom:2eafa03312. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-linuxOKNov 08 2024

Exports:cox.zphrandrpsftm

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr

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

Rendered fromrpsftm_vignette.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2024-03-13
Started: 2016-09-13