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iterativeBMAsurv

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

Bioconductor version: Release (3.17)

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>

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

Installation

To install this package, start R (version "4.3") and enter: 

if (!require("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")
The Iterative Bayesian Model Averaging Algorithm For Survival Analysis PDF R Script
Reference Manual PDF

Details

biocViews Microarray, Software
Version 1.58.0
In Bioconductor since BioC 2.3 (R-2.8) (15 years)
License GPL (>= 2)
Depends BMA, leaps, survival, splines
Imports graphics, grDevices, stats, survival, utils
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Enhances
URL http://expression.washington.edu/ibmasurv/protected
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Package Archives

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

Source Package iterativeBMAsurv_1.58.0.tar.gz
Windows Binary iterativeBMAsurv_1.58.0.zip
macOS Binary (x86_64) iterativeBMAsurv_1.58.0.tgz
macOS Binary (arm64) iterativeBMAsurv_1.58.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iterativeBMAsurv
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iterativeBMAsurv
Bioc Package Browser https://code.bioconductor.org/browse/iterativeBMAsurv/
Package Short Url https://bioconductor.org/packages/iterativeBMAsurv/
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