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 15 Jul. 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

gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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