Package: iBST 1.2

iBST: Improper Bagging Survival Tree

Fit a full or subsampling bagging survival tree on a mixture of population (susceptible and nonsusceptible) using either a pseudo R2 criterion or an adjusted Logrank criterion. The predictor is evaluated using the Out Of Bag Integrated Brier Score (IBS) and several scores of importance are computed for variable selection. The thresholds values for variable selection are computed using a nonparametric permutation test. See 'Cyprien Mbogning' and 'Philippe Broet' (2016)<doi:10.1186/s12859-016-1090-x> for an overview about the methods implemented in this package.

Authors:Cyprien Mbogning and Philippe Broet

iBST_1.2.tar.gz
iBST_1.2.zip(r-4.5)iBST_1.2.zip(r-4.4)iBST_1.2.zip(r-4.3)
iBST_1.2.tgz(r-4.5-x86_64)iBST_1.2.tgz(r-4.5-arm64)iBST_1.2.tgz(r-4.4-x86_64)iBST_1.2.tgz(r-4.4-arm64)iBST_1.2.tgz(r-4.3-x86_64)iBST_1.2.tgz(r-4.3-arm64)
iBST_1.2.tar.gz(r-4.5-noble)iBST_1.2.tar.gz(r-4.4-noble)
iBST_1.2.tgz(r-4.4-emscripten)iBST_1.2.tgz(r-4.3-emscripten)
iBST.pdf |iBST.html
iBST/json (API)

# Install 'iBST' in R:
install.packages('iBST', repos = c('https://cyprien84.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

cpp

1.00 score 8 scripts 253 downloads 1 mentions 7 exports 5 dependencies

Last updated 2 years agofrom:b443d3bb10. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-win-x86_64OKFeb 20 2025
R-4.5-mac-x86_64OKFeb 20 2025
R-4.5-mac-aarch64OKFeb 20 2025
R-4.5-linux-x86_64OKFeb 20 2025
R-4.4-win-x86_64OKFeb 20 2025
R-4.4-mac-x86_64OKFeb 20 2025
R-4.4-mac-aarch64OKFeb 20 2025
R-4.3-win-x86_64OKFeb 20 2025
R-4.3-mac-x86_64OKFeb 20 2025
R-4.3-mac-aarch64OKFeb 20 2025

Exports:Bagg_pred_SurvBagg_Survimproper_treepermute_select_survPseudoR2.Curercpp_hello_worldtree2indicators

Dependencies:latticeMatrixRcpprpartsurvival