Package: OSsurvival 1.0

OSsurvival: Assessing Surrogacy with a Censored Outcome

Identifies the optimal transformation of a surrogate marker and estimates the proportion of treatment explained (PTE) by the optimally-transformed surrogate at an earlier time point when the primary outcome of interest is a censored time-to-event outcome; details are described in Wang et al (2021) <doi:10.1002/sim.9185>.

Authors:Xuan Wang [aut], Clara-Lea Bonzel [aut], Tianxi Cai [aut], Layla Parast [aut, cre], PARSE LTD [aut]

OSsurvival_1.0.tar.gz
OSsurvival_1.0.zip(r-4.5)OSsurvival_1.0.zip(r-4.4)OSsurvival_1.0.zip(r-4.3)
OSsurvival_1.0.tgz(r-4.4-any)OSsurvival_1.0.tgz(r-4.3-any)
OSsurvival_1.0.tar.gz(r-4.5-noble)OSsurvival_1.0.tar.gz(r-4.4-noble)
OSsurvival_1.0.tgz(r-4.4-emscripten)OSsurvival_1.0.tgz(r-4.3-emscripten)
OSsurvival.pdf |OSsurvival.html
OSsurvival/json (API)

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

Peer review:

Datasets:

On CRAN:

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

1.00 score 3 scripts 148 downloads 1 exports 0 dependencies

Last updated 2 years agofrom:83bb401a95. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:pte.survival

Dependencies: