Package: compound.Cox
Type: Package
Title: Univariate Feature Selection and Compound Covariate for
        Predicting Survival
Version: 3.20
Date: 2020-7-4
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Maintainer: Takeshi Emura <takeshiemura@gmail.com>
Description: 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.
License: GPL-2
Depends: numDeriv, survival
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-04 08:19:22 UTC; user
Repository: CRAN
Date/Publication: 2020-07-04 23:10:03 UTC
Built: R 4.0.2; ; 2020-07-16 05:23:43 UTC; unix
