Registration Open for Bioc2024 July 24-26


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

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

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


biocViews Microarray, Software
Version 1.62.0
In Bioconductor since BioC 2.3 (R-2.8) (15.5 years)
License GPL (>= 2)
Depends BMA, leaps, survival, splines
Imports graphics, grDevices, stats, survival, utils
System Requirements
See More
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package iterativeBMAsurv_1.62.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) iterativeBMAsurv_1.62.0.tgz
macOS Binary (arm64) iterativeBMAsurv_1.62.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats