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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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