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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "uni.survival.tree" in publications use:'
type: software
license: GPL-3.0-only
title: 'uni.survival.tree: A Survival Tree Based on Stabilized Score Tests for High-dimensional
  Covariates'
version: '1.5'
doi: 10.32614/CRAN.package.uni.survival.tree
abstract: 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).
authors:
- family-names: Emura
  given-names: Takeshi
  email: takeshiemura@gmail.com
- family-names: Hsu
  given-names: Wei-Chern
repository: https://takeshiemura1.r-universe.dev
commit: bca81299a76481800f62bd98efda536da08f04f9
date-released: '2021-03-22'
contact:
- family-names: Emura
  given-names: Takeshi
  email: takeshiemura@gmail.com