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>

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

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)
Depends
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

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

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: