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cff-version: 1.2.0
message: 'To cite package "compound.Cox" in publications use:'
type: software
license: GPL-2.0-only
title: 'compound.Cox: Univariate Feature Selection and Compound Covariate for Predicting
  Survival'
version: '3.30'
abstract: Univariate feature selection and compound covariate methods under the Cox
  model with high-dimensional features (e.g., gene expressions). Available are survival
  data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007
  New Engl J Med) <DOI:10.1056/NEJMoa060096>, statistical methods in Emura et al (2012
  PLoS ONE) <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med
  Res) <DOI:10.1177/0962280214533378>, and Emura et al (2019)<DOI:10.1016/j.cmpb.2018.10.020>.
  Algorithms for generating correlated gene expressions are also available. Estimation
  of survival functions via copula-graphic (CG) estimators is also implemented, which
  is useful for sensitivity analyses under dependent censoring (Yeh et al 2023) <DOI:10.3390/biomedicines11030797>.
authors:
- family-names: Emura
  given-names: Takeshi
  email: takeshiemura@gmail.com
- family-names: Chen
  given-names: Hsuan-Yu
- family-names: Matsui
  given-names: Shigeyuki
- family-names: Chen
  given-names: Yi-Hau
repository: https://CRAN.R-project.org/package=compound.Cox
date-released: '2023-07-09'
contact:
- family-names: Emura
  given-names: Takeshi
  email: takeshiemura@gmail.com