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uni.survival.tree  

A Survival Tree Based on Stabilized Score Tests for High-dimensional Covariates
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/uni.survival.tree")

Install by package version:
library("remotes")
install_version("uni.survival.tree", "1.5")



Attach the package and use:
library("uni.survival.tree")
Maintained by
Takeshi Emura
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2021-03-22
Description:
A classification (decision) tree is constructed from survival data with high-dimensional covariates. The method is a robust version of the logrank tree, where the variance is stabilized. The main function "uni.tree" returns a classification tree for a given survival dataset. The inner nodes (splitting criterion) are selected by minimizing the P-value of the two-sample the score tests. The decision of declaring terminal nodes (stopping criterion) is the P-value threshold given by an argument (specified by user). This tree construction algorithm is proposed by Emura et al. (2021, in review).
How to cite:
Takeshi Emura (2021). uni.survival.tree: A Survival Tree Based on Stabilized Score Tests for High-dimensional Covariates. R package version 1.5, https://cran.r-project.org/web/packages/uni.survival.tree
Previous versions and publish date:
1.3 (2021-02-17 20:50), 1.4 (2021-03-09 08:40)
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