Biomarker Selection in Penalized Regression Models
Description
Provides a useful R tool for developing and validating prediction models, estimate expected survival of patients and visualize them graphically.
Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) ), the adaptive lasso (Zou H (2006) ), the stability selection (Meinshausen N et al. (2010) ), some extensions of the lasso (Ternes et al. (2016) ), some methods for the interaction setting (Ternes N et al. (2016) ), or others.
A function generating simulated survival data set is also provided.