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iterativeBMAsurv

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

Bioconductor version: 3.24 · Package version: 1.71.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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

DOI: 10.18129/B9.bioc.iterativeBMAsurv

Installation

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

BiocManager::install("iterativeBMAsurv")

Details

MaintainerKa Yee Yeung <kayee@u.washington.edu>
AuthorAmalia Annest, University of Washington, Tacoma, WA Ka Yee Yeung, University of Washington, Seattle, WA
LicenseGPL (>= 2)
URLhttp://expression.washington.edu/ibmasurv/protected
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsMicroarray, Software
Package Short Url https://bioconductor.org/packages/iterativeBMAsurv/

Citation

From within R, enter citation("iterativeBMAsurv"):

Amalia Annest, University of Washington, Tacoma, WA Ka Yee Yeung, University of Washington, Seattle, WA. iterativeBMAsurv: The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis. doi:10.18129/B9.bioc.iterativeBMAsurv, R package version 1.71.0, https://bioconductor.org/packages/iterativeBMAsurv.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageiterativeBMAsurv_1.71.0.tar.gz
Windows binary (x86_64)iterativeBMAsurv_1.71.0.zip
macOS binary (arm64)iterativeBMAsurv_1.71.0.tgz
macOS binary (x86_64)iterativeBMAsurv_1.71.0.tgz
Dependencies

Depends: BMA, leaps, survival, splines

Imports: graphics, grDevices, stats, survival, utils