IRSF: Interaction Random Survival Forest

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

Downloads:

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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