rocTree: Receiver Operating Characteristic (ROC)-Guided Classification and Survival Tree

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) <doi:10.48550/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
DOI:	10.32614/CRAN.package.rocTree
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

Documentation:

Reference manual:

rocTree.pdf

Downloads:

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 (arm64): rocTree_1.1.1.tgz, r-oldrel (arm64): rocTree_1.1.1.tgz, r-release (x86_64): rocTree_1.1.1.tgz, r-oldrel (x86_64): rocTree_1.1.1.tgz
Old sources:	rocTree archive

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