uni.survival.tree: A Survival Tree Based on Stabilized Score Tests

A classification (decision) tree is constructed from survival data. The method is a robust version of the logrank tree, where the variance is stabilized. This function returns a classification tree for a given survival dataset. The decision of making inner nodes (splitting criterion) is based on the univariate score tests. The decision of declaring terminal nodes (stopping criterion) is the P-value threshold given by an argument. This tree construction algorithm is proposed by Emura et al. (2021, in review).

Version: 1.3
Depends: survival, compound.Cox
Published: 2021-02-17
Author: Takeshi Emura and Wei-Chern Hsu
Maintainer: Takeshi Emura <takeshiemura at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: uni.survival.tree results

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Reference manual: uni.survival.tree.pdf
Package source: uni.survival.tree_1.3.tar.gz
Windows binaries: r-devel: uni.survival.tree_1.3.zip, r-release: uni.survival.tree_1.3.zip, r-oldrel: uni.survival.tree_1.3.zip
macOS binaries: r-release: uni.survival.tree_1.3.tgz, r-oldrel: uni.survival.tree_1.3.tgz

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