Package: icRSF 1.2
Hui Xu
icRSF: A Modified Random Survival Forest Algorithm
Implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.
Authors:
icRSF_1.2.tar.gz
icRSF_1.2.tar.gz(r-4.5-noble)icRSF_1.2.tar.gz(r-4.4-noble)
icRSF_1.2.tgz(r-4.4-emscripten)icRSF_1.2.tgz(r-4.3-emscripten)
icRSF.pdf |icRSF.html✨
icRSF/json (API)
| # Install 'icRSF' in R: |
| install.packages('icRSF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:0af2f2cc67. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-linux-x86_64 | OK | Nov 12 2024 |
Exports:icrsfsimouttreebuilder
