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. (2020) <arXiv:2006.00567>.

Version:	0.5.5
Depends:	R (≥ 3.5.0)
Imports:	stats, utils, survival, ipred, parallel, prodlim, partykit
Suggests:	randomForestSRC, LTRCtrees
Published:	2021-02-24
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

Documentation:

Reference manual:

LTRCforests.pdf

Downloads:

Package source:	LTRCforests_0.5.5.tar.gz
Windows binaries:	r-devel: LTRCforests_0.5.5.zip, r-release: LTRCforests_0.5.5.zip, r-oldrel: LTRCforests_0.5.5.zip
macOS binaries:	r-release (arm64): LTRCforests_0.5.5.tgz, r-oldrel (arm64): LTRCforests_0.5.5.tgz, r-release (x86_64): LTRCforests_0.5.5.tgz, r-oldrel (x86_64): LTRCforests_0.5.5.tgz
Old sources:	LTRCforests archive

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