Univariate Feature Selection and Compound Covariate for Predicting Survival

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) , statistical methods in Emura et al (2012 PLoS ONE) , Emura & Chen (2016 Stat Methods Med Res) , and Emura et al. (2019). Algorithms for generating correlated gene expressions are also available.


Reference manual

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3.20 by Takeshi Emura, a year ago

Browse source code at https://github.com/cran/compound.Cox

Authors: Takeshi Emura , Hsuan-Yu Chen , Shigeyuki Matsui , Yi-Hau Chen

Documentation:   PDF Manual  

Task views: Survival Analysis

GPL-2 license

Depends on numDeriv, survival

Depended on by Bivariate.Pareto, GFGM.copula, uni.survival.tree.

See at CRAN