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:
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')) |
- data.example - Simulated data for the example.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:83bb401a95. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | OK | Nov 11 2024 |
R-4.5-linux | OK | Nov 11 2024 |
R-4.4-win | OK | Nov 11 2024 |
R-4.4-mac | OK | Nov 11 2024 |
R-4.3-win | OK | Nov 11 2024 |
R-4.3-mac | OK | Nov 11 2024 |
Exports:pte.survival
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Simulated data for the example. | data.example |
Estimates the proportion of treatment effect explained | pte.survival |