The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
Author: Weichi Yao [aut, cre], Halina Frydman [aut], Denis Larocque [aut], Jeffrey S. Simonoff [aut]
Maintainer: Weichi Yao <weichi.yao at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: LTRCforests results

Documentation:

Reference manual: LTRCforests.pdf

Downloads:

Package source: LTRCforests_0.7.0.tar.gz
Windows binaries: r-devel: LTRCforests_0.7.0.zip, r-release: LTRCforests_0.7.0.zip, r-oldrel: LTRCforests_0.7.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LTRCforests to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.