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.

Version: 1.2
Depends: survival , rpart , parallel
Imports: Rcpp (≥ 1.0.8)
LinkingTo: Rcpp
Published: 2023-01-12
DOI: 10.32614/CRAN.package.iBST
Author: Cyprien Mbogning and Philippe Broet
Maintainer: Cyprien Mbogning <cyprien.mbogning at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: iBST results


Reference manual: iBST.pdf


Package source: iBST_1.2.tar.gz
Windows binaries: r-devel: iBST_1.2.zip, r-release: iBST_1.2.zip, r-oldrel: iBST_1.2.zip
macOS binaries: r-release (arm64): iBST_1.2.tgz, r-oldrel (arm64): iBST_1.2.tgz, r-release (x86_64): iBST_1.2.tgz, r-oldrel (x86_64): iBST_1.2.tgz
Old sources: iBST archive

Reverse dependencies:

Reverse suggests: multipleOutcomes


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