LTRCforests: Ensemble Methods for Survival Data with Time-Varying Covariates

Implements the conditional inference forest and relative risk forest algorithm to modeling left-truncated right-censored data with time-invariant covariates, and (left-truncated) right-censored survival data with time-varying covariates. It also provides functions to tune the parameters and evaluate the model fit. See Yao et al. (2022) <doi:10.1177/09622802221111549>.

Version: 0.7.0
Depends: R (≥ 3.5.0)
Imports: stats, utils, survival, ipred, parallel, prodlim, partykit
Suggests: randomForestSRC, LTRCtrees
Published: 2023-11-30
DOI: 10.32614/CRAN.package.LTRCforests
Author: Weichi Yao [aut, cre], Halina Frydman [aut], Denis Larocque [aut], Jeffrey S. Simonoff [aut]
Maintainer: Weichi Yao <weichi.yao at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: LTRCforests results


Reference manual: LTRCforests.pdf


Package source: LTRCforests_0.7.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): LTRCforests_0.7.0.tgz, r-oldrel (arm64): LTRCforests_0.7.0.tgz, r-release (x86_64): LTRCforests_0.7.0.tgz, r-oldrel (x86_64): LTRCforests_0.7.0.tgz
Old sources: LTRCforests archive


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