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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 gmail.com> |
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: 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 |
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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.