RCASPAR

DOI: 10.18129/B9.bioc.RCASPAR    

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

Bioconductor version: Release (3.15)

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, Lars Kaderali

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

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RCASPAR")

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

Documentation

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

browseVignettes("RCASPAR")

 

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

Details

biocViews	GeneExpression, Genetics, Proteomics, Software, Visualization, aCGH
Version	1.42.0
In Bioconductor since	BioC 2.9 (R-2.14) (11 years)
License	GPL (>=3)
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Package Archives

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

Source Package	RCASPAR_1.42.0.tar.gz
Windows Binary	RCASPAR_1.42.0.zip
macOS Binary (x86_64)	RCASPAR_1.42.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/RCASPAR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/RCASPAR
Package Short Url	https://bioconductor.org/packages/RCASPAR/
Package Downloads Report	Download Stats