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

Implements the conditional inference forest and random survival 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. (2020) <arXiv:2006.00567>.

Version: 0.5.1
Depends: R (≥ 3.5.0)
Imports: stats, utils, survival, ipred, parallel, prodlim, partykit
Suggests: randomForestSRC, LTRCtrees
Published: 2020-09-20
Author: Weichi Yao [aut, cre], Halina Frydman [aut], Denis Larocque [aut], Jeffrey S. Simonoff [aut]
Maintainer: Weichi Yao <wy635 at stern.nyu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: LTRCforests results

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Reference manual: LTRCforests.pdf
Package source: LTRCforests_0.5.1.tar.gz
Windows binaries: r-devel: LTRCforests_0.5.1.zip, r-release: LTRCforests_0.5.0.zip, r-oldrel: LTRCforests_0.5.0.zip
macOS binaries: r-release: LTRCforests_0.5.0.tgz, r-oldrel: LTRCforests_0.5.0.tgz
Old sources: LTRCforests archive

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