iterativeBMAsurv

DOI: 10.18129/B9.bioc.iterativeBMAsurv    

The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis

Bioconductor version: Release (3.11)

The iterative Bayesian Model Averaging (BMA) algorithm for survival analysis is a variable selection method for applying survival analysis to microarray data.

Author: Amalia Annest, University of Washington, Tacoma, WA Ka Yee Yeung, University of Washington, Seattle, WA

Maintainer: Ka Yee Yeung <kayee at u.washington.edu>

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("iterativeBMAsurv")

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("iterativeBMAsurv")

 

PDF	R Script	The Iterative Bayesian Model Averaging Algorithm For Survival Analysis
PDF		Reference Manual

Details

biocViews	Microarray, Software
Version	1.46.0
In Bioconductor since	BioC 2.3 (R-2.8) (12 years)
License	GPL (>= 2)
Depends	BMA, leaps, survival, splines
Imports	graphics, grDevices, stats, survival, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://expression.washington.edu/ibmasurv/protected
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package	iterativeBMAsurv_1.46.0.tar.gz
Windows Binary	iterativeBMAsurv_1.46.0.zip
macOS 10.13 (High Sierra)	iterativeBMAsurv_1.46.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/iterativeBMAsurv
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/iterativeBMAsurv
Package Short Url	https://bioconductor.org/packages/iterativeBMAsurv/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive