Package: survRM2adapt 1.1.0
survRM2adapt: Flexible and Coherent Test/Estimation Procedure Based on Restricted Mean Survival Times
Estimates the restricted mean survival time (RMST) with the time window [0, tau], where tau is adaptively selected from the procedure, proposed by Horiguchi et al. (2018) <doi:10.1002/sim.7661>. It also estimates the RMST with the time window [tau1, tau2], where tau1 is adaptively selected from the procedure, proposed by Horiguchi et al. (2023) <doi:10.1002/sim.9662>.
Authors:
survRM2adapt_1.1.0.tar.gz
survRM2adapt_1.1.0.zip(r-4.5)survRM2adapt_1.1.0.zip(r-4.4)survRM2adapt_1.1.0.zip(r-4.3)
survRM2adapt_1.1.0.tgz(r-4.4-any)survRM2adapt_1.1.0.tgz(r-4.3-any)
survRM2adapt_1.1.0.tar.gz(r-4.5-noble)survRM2adapt_1.1.0.tar.gz(r-4.4-noble)
survRM2adapt_1.1.0.tgz(r-4.4-emscripten)survRM2adapt_1.1.0.tgz(r-4.3-emscripten)
survRM2adapt.pdf |survRM2adapt.html✨
survRM2adapt/json (API)
NEWS
| # Install 'survRM2adapt' in R: |
| install.packages('survRM2adapt', repos = c('https://mikihoriguchi.r-universe.dev', 'https://cloud.r-project.org')) |
- cm214_pfs - Sample Reconstructed Data of CheckMate214 Study
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:4851580343. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 17 2024 |
| R-4.5-win | OK | Nov 17 2024 |
| R-4.5-linux | OK | Nov 17 2024 |
| R-4.4-win | OK | Nov 17 2024 |
| R-4.4-mac | OK | Nov 17 2024 |
| R-4.3-win | OK | Nov 17 2024 |
| R-4.3-mac | OK | Nov 17 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Flexible and Coherent Test/Estimation Procedure Based on Restricted Mean Survival Times | survRM2adapt-package |
| Sample Reconstructed Data of CheckMate214 Study | cm214_pfs |
| Long-Term Restricted Mean Survival Times with Adaptively Selected Lower End of Time Window | ltrmst2adapt |
| print.ltrmst2adapt | print.ltrmst2adapt |
| print.rmst2adapt | print.rmst2adapt |
| Restricted Mean Survival Times with Adaptively Selected Truncation Time Point | rmst2adapt |
| Generate a sample data from the pbc data | rmst2adapt.sample.data |
