RCASPAR

A package for survival time prediction based on a piecewise baseline hazard Cox regression model.

Bioconductor version: Release (3.1)

The package is the R-version of the C-based 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 high-dimensional explanatory covariates. The model is a piecewise baseline hazard Cox regression model with an Lq-norm 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 high-dimensional data and in disciplines other than biology and medicine.

Author: Douaa Mugahid

Maintainer: Douaa Mugahid <douaa.mugahid at gmail.com>, Lars Kaderali <lars.kaderali at tu-dresden.de>

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("RCASPAR")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RCASPAR")

Details

Package Archives

Follow Installation instructions to use this package in your R session.