Receiver Operating Characteristic (ROC)-guided survival trees and ensemble algorithms are implemented, providing a unified framework for tree-structured analysis with censored survival outcomes. A time-invariant partition scheme on the survivor population was considered to incorporate time-dependent covariates. Motivated by ideas of randomized tests, generalized time-dependent ROC curves were used to evaluate the performance of survival trees and establish the optimality of the target hazard/survival function. The optimality of the target hazard function motivates us to use a weighted average of the time-dependent area under the curve (AUC) on a set of time points to evaluate the prediction performance of survival trees and to guide splitting and pruning. A detailed description of the implemented methods can be found in Sun et al. (2019) <arXiv:1809.05627>.
| Version: | 1.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | DiagrammeR (≥ 1.0.0), data.tree (≥ 0.7.5), graphics, stats, survival (≥ 2.38), ggplot2, MASS, flexsurv, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-08-01 |
| Author: | Yifei Sun [aut], Mei-Cheng Wang [aut], Sy Han Chiou [aut, cre] |
| Maintainer: | Sy Han Chiou <schiou at utdallas.edu> |
| BugReports: | http://github.com/stc04003/rocTree/issues |
| License: | GPL (≥ 3) |
| URL: | http://github.com/stc04003/rocTree |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | rocTree results |
| Reference manual: | rocTree.pdf |
| Package source: | rocTree_1.1.1.tar.gz |
| Windows binaries: | r-devel: rocTree_1.1.1.zip, r-release: rocTree_1.1.1.zip, r-oldrel: rocTree_1.1.1.zip |
| macOS binaries: | r-release: rocTree_1.1.1.tgz, r-oldrel: rocTree_1.1.1.tgz |
| Old sources: | rocTree archive |
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