DESCRIPTION

Package: rocTree
Title: Receiver Operating Characteristic (ROC)-Guided Classification
        and Survival Tree
Version: 1.1.1
Authors@R: c(person("Yifei", "Sun", email = "ys3072@cumc.columbia.edu", role = "aut"),
	   person("Mei-Cheng", "Wang", email = "mcwang@jhu.edu", role = "aut"),
	   person("Sy Han", "Chiou", email = "schiou@utdallas.edu", role = c("aut", "cre")))
Description: 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>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
LinkingTo: Rcpp, RcppArmadillo
Imports: DiagrammeR (>= 1.0.0), data.tree (>= 0.7.5), graphics, stats, survival (>= 2.38), ggplot2, MASS, flexsurv, Rcpp
URL: http://github.com/stc04003/rocTree
BugReports: http://github.com/stc04003/rocTree/issues    
NeedsCompilation: yes
Packaged: 2019-09-28 06:09:40 UTC; schiou
Author: Yifei Sun [aut],
  Mei-Cheng Wang [aut],
  Sy Han Chiou [aut, cre]
Maintainer: Sy Han Chiou <schiou@utdallas.edu>