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

Bioconductor version: Release (3.19)

The package is the R-version of the C-based software \bold{CASPAR} (Kaderali,2006: \url{}). 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, Lars Kaderali

Maintainer: Douaa Mugahid <douaa.mugahid at>, Lars Kaderali <lars.kaderali at>

Citation (from within R, enter citation("RCASPAR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

RCASPAR: Software for high-dimentional-data driven survival time prediction PDF R Script
Reference Manual PDF


biocViews GeneExpression, Genetics, Proteomics, Software, Visualization, aCGH
Version 1.50.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 years)
License GPL (>=3)
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Follow Installation instructions to use this package in your R session.

Source Package RCASPAR_1.50.0.tar.gz
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macOS Binary (x86_64) RCASPAR_1.50.0.tgz
macOS Binary (arm64) RCASPAR_1.50.0.tgz
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Source Repository (Developer Access) git clone
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