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: | 0.5.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, utils, survival, ipred, parallel, prodlim, partykit |
| Suggests: | randomForestSRC, LTRCtrees |
| Published: | 2020-07-03 |
| 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 |
| Reference manual: | LTRCforests.pdf |
| Package source: | LTRCforests_0.5.0.tar.gz |
| Windows binaries: | r-devel: LTRCforests_0.5.0.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 |
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