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RCASPAR

This is thereleased version of RCASPAR; for the devel version, seeRCASPAR.

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

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DOI: 10.18129/B9.bioc.RCASPAR


Bioconductor version: Release (3.22)

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, entercitation("RCASPAR")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("RCASPAR")
RCASPAR: Software for high-dimentional-data driven survival time predictionPDFR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,Genetics,Proteomics,Software,Visualization,aCGH
Version1.56.0
In Bioconductor sinceBioC 2.9 (R-2.14) (14 years)
LicenseGPL (>=3)
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageRCASPAR_1.56.0.tar.gz
Windows Binary (x86_64) RCASPAR_1.56.0.zip
macOS Binary (x86_64)RCASPAR_1.56.0.tgz
macOS Binary (arm64)RCASPAR_1.56.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/RCASPAR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/RCASPAR
Bioc Package Browserhttps://code.bioconductor.org/browse/RCASPAR/
Package Short Urlhttps://bioconductor.org/packages/RCASPAR/
Package Downloads ReportDownload Stats

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