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-4.7)iBST_1.2.zip(r-4.6)iBST_1.2.zip(r-4.5)
iBST_1.2.tgz(r-4.6-x86_64)iBST_1.2.tgz(r-4.6-arm64)iBST_1.2.tgz(r-4.5-x86_64)iBST_1.2.tgz(r-4.5-arm64)
iBST_1.2.tar.gz(r-4.7-arm64)iBST_1.2.tar.gz(r-4.7-x86_64)iBST_1.2.tar.gz(r-4.6-arm64)iBST_1.2.tar.gz(r-4.6-x86_64)
iBST_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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:

Conda:

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

cpp

1.00 score 9 scripts 234 downloads 1 mentions 7 exports 5 dependencies

Last updated from:b443d3bb10. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK139
linux-devel-x86_64OK122
source / vignettesOK155
linux-release-arm64OK139
linux-release-x86_64OK118
macos-release-arm64OK191
macos-release-x86_64OK181
macos-oldrel-arm64OK210
macos-oldrel-x86_64OK352
windows-develOK125
windows-releaseOK121
windows-oldrelOK95
wasm-releaseOK95

Exports:Bagg_pred_SurvBagg_Survimproper_treepermute_select_survPseudoR2.Curercpp_hello_worldtree2indicators

Dependencies:latticeMatrixRcpprpartsurvival