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rocTree  

Receiver Operating Characteristic (ROC)-Guided Classification and Survival Tree
View on CRAN: Click here


Download and install rocTree package within the R console
Install from CRAN:
install.packages("rocTree")

Install from Github:
library("remotes")
install_github("cran/rocTree")

Install by package version:
library("remotes")
install_version("rocTree", "1.1.1")



Attach the package and use:
library("rocTree")
Maintained by
Sy Han Chiou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-24
Latest Update: 2020-08-01
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) .
How to cite:
Sy Han Chiou (2019). rocTree: Receiver Operating Characteristic (ROC)-Guided Classification and Survival Tree. R package version 1.1.1, https://cran.r-project.org/web/packages/rocTree. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:52), 1.0.0 (2019-03-24 20:50), 1.1.0 (2019-10-11 01:20), 1.1.1 (2020-08-01 11:40)
Other packages that cited rocTree R package
View rocTree citation profile
Other R packages that rocTree depends, imports, suggests or enhances
Complete documentation for rocTree
Functions, R codes and Examples using the rocTree R package
Some associated functions: export_Surv . plot.rocTree . predict.rocTree . print.rocTree . rocTree-package . rocTree . simDat . simu . 
Some associated R codes: RcppExports.R . Surv.R . data.R . plot.predict.rocTree.R . plot.rocTree.R . predict.rocTree.R . print.rocTree.R . rocTree.R . rocTree_pkg.R . simu.R . util.R .  Full rocTree package functions and examples
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