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:Hui Xu and Raji Balasubramanian

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)

Peer review:

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

3 exports 0.00 score 2 dependencies 3 scripts 193 downloads

Last updated 7 years agofrom:0af2f2cc67. Checks:OK: 2. Indexed: yes.

Exports:icrsfsimouttreebuilder

Dependencies:icensmisRcpp