Package: uni.survival.tree
Type: Package
Title: A Survival Tree Based on Stabilized Score Tests for
        High-dimensional Covariates
Version: 1.5
Author: Takeshi Emura and Wei-Chern Hsu
Maintainer: Takeshi Emura <takeshiemura@gmail.com>
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).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: survival,compound.Cox
NeedsCompilation: no
Packaged: 2021-03-22 05:50:46 UTC; biouser
Repository: CRAN
Date/Publication: 2021-03-22 06:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 05:07:28 UTC; unix
