Builds ensemble survival tree models to reveal variable interactions when the response is a time-to-events outcome. Codes contain randomization, interaction modeling, and prediction subroutines to be used in addition to the following R packages: 'survival' for Kaplan-Meier and Cox regression modeling, 'randomForestSRC' for RSF modeling, and optionally 'ggRandomForests' for Random Forest exploration/visualization. The current version contains additional R codes in folder "/inst/doc" for the analysis and generation of results shown in the corresponding article (Dazard et al. (2018) <doi:10.1515/sagmb-2017-0038>).
| Version: | 1.0.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | parallel, survival, randomForestSRC, abind |
| Published: | 2020-11-13 |
| Author: | Jean-Eudes Dazard [aut, cre] |
| Maintainer: | Jean-Eudes Dazard <jean-eudes.dazard at case.edu> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jedazard/IRSF |
| NeedsCompilation: | no |
| Citation: | IRSF citation info |
| Materials: | README NEWS |
| CRAN checks: | IRSF results |
| Reference manual: | IRSF.pdf |
| Package source: | IRSF_1.0.3.tar.gz |
| Windows binaries: | r-devel: IRSF_1.0.3.zip, r-release: IRSF_1.0.3.zip, r-oldrel: IRSF_1.0.3.zip |
| macOS binaries: | r-release: IRSF_1.0.3.tgz, r-oldrel: IRSF_1.0.3.tgz |
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