CRAN/E | compound.Cox

compound.Cox

Univariate Feature Selection and Compound Covariate for Predicting Survival

Installation

About

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.

Key Metrics

Version 3.30
Published 2023-07-10 290 days ago
Needs compilation? no
License GPL-2
CRAN checks compound.Cox results

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Maintainer

Maintainer

Takeshi Emura

takeshiemura@gmail.com

Authors

Takeshi Emura
Hsuan-Yu Chen
Shigeyuki Matsui
Yi-Hau Chen

Material

Reference manual
Package source

In Views

Survival

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

compound.Cox archive

Depends

numDeriv
survival
MASS

Reverse Depends

Bivariate.Pareto
GFGM.copula
uni.survival.tree