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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 |
| 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 |
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