Package: iterativeBMA 1.70.0

Ka Yee Yeung

iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm

The iterative Bayesian Model Averaging (BMA) algorithm is a variable selection and classification algorithm with an application of classifying 2-class microarray samples, as described in Yeung, Bumgarner and Raftery (Bioinformatics 2005, 21: 2394-2402).

Authors:Ka Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter

iterativeBMA_1.70.0.tar.gz
iterativeBMA_1.70.0.zip(r-4.7)iterativeBMA_1.70.0.zip(r-4.6)iterativeBMA_1.70.0.zip(r-4.5)
iterativeBMA_1.70.0.tgz(r-4.6-any)iterativeBMA_1.70.0.tgz(r-4.5-any)
iterativeBMA_1.70.0.tar.gz(r-4.7-any)iterativeBMA_1.70.0.tar.gz(r-4.6-any)
iterativeBMA_1.70.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iterativeBMA/json (API)

# Install 'iterativeBMA' in R:
install.packages('iterativeBMA', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • testClass - Sample Test Data for the Iterative BMA Algorithm
  • testData - Sample Test Data for the Iterative BMA Algorithm
  • trainClass - Sample Training Data for the Iterative BMA Algorithm
  • trainData - Sample Training Data for the Iterative BMA Algorithm

On BioConductor:iterativeBMA-1.71.0(bioc 3.24)iterativeBMA-1.70.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarrayclassification

3.78 score 1 scripts 390 downloads 3 mentions 8 exports 14 dependencies

Last updated from:7da42d002c (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR144
linux-devel-x86_64NOTE146
source / vignettesOK178
linux-release-x86_64NOTE138
macos-release-arm64NOTE139
macos-oldrel-arm64NOTE103
windows-develNOTE136
windows-releaseNOTE85
windows-oldrelNOTE83
wasm-releaseOK102

Exports:bma.predictbrier.scoreBssWssFastimageplot.iterate.bmaiterateBMAglm.trainiterateBMAglm.train.predictiterateBMAglm.train.predict.testiterateBMAglm.wrapper

Dependencies:BiobaseBiocGenericsBMADEoptimRgenericsinlinelatticeleapsMatrixmvtnormpcaPProbustbaserrcovsurvival

The Iterative Bayesian Model Averaging Algorithm

Rendered fromiterativeBMA.Rnwusingutils::Sweaveon Jun 09 2026.

Last update: 2013-11-01
Started: 2013-11-01