The package is the Rversion of the Cbased software \bold{CASPAR} (Kaderali,2006: \url{http://bioinformatics.oxfordjournals.org/content/22/12/1495}). It is meant to help predict survival times in the presence of highdimensional explanatory covariates. The model is a piecewise baseline hazard Cox regression model with an Lqnorm based prior that selects for the most important regression coefficients, and in turn the most relevant covariates for survival analysis. It was primarily tried on gene expression and aCGH data, but can be used on any other type of highdimensional data and in disciplines other than biology and medicine.
Package details 


Author  Douaa Mugahid, Lars Kaderali 
Bioconductor views  GeneExpression Genetics Proteomics Visualization aCGH 
Maintainer  Douaa Mugahid <[email protected]>, Lars Kaderali <[email protected]> 
License  GPL (>=3) 
Version  1.26.0 
Package repository  View on Bioconductor 
Installation 
Install the latest version of this package by entering the following in R:

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