Other packages > Find by keyword >

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 07 Oct. 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA