Package: iterativeBMA 1.71.0

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_1.71.0.tar.gz
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iterativeBMA_1.71.0.tgz(r-4.6-any)iterativeBMA_1.71.0.tgz(r-4.5-any)
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iterativeBMA_1.71.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
iterativeBMA/json (API)

# Install 'iterativeBMA' in R:

install.packages('iterativeBMA', repos = c('https://bioc.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.

microarray classification

3.78 score 3 scripts 439 downloads 3 mentions 8 exports 14 dependencies

Last updated from:c138cdaea0. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	ERROR	143
linux-devel-x86_64	NOTE	193
source / vignettes	OK	176
linux-release-x86_64	NOTE	208
macos-release-arm64	NOTE	108
macos-oldrel-arm64	NOTE	105
windows-devel	NOTE	85
windows-release	NOTE	86
windows-oldrel	NOTE	93
wasm-release	OK	116

Exports:bma.predict brier.score BssWssFast imageplot.iterate.bma iterateBMAglm.train iterateBMAglm.train.predict iterateBMAglm.train.predict.test iterateBMAglm.wrapper

Dependencies:Biobase BiocGenerics BMA DEoptimR generics inline lattice leaps Matrix mvtnorm pcaPP robustbase rrcov survival

The Iterative Bayesian Model Averaging Algorithm

Introduction | Some examples

Rendered fromiterativeBMA.Rnwusingutils::Sweave

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The Iterative Bayesian Model Averaging (BMA) algorithm	iterativeBMA-package iterativeBMA
Predicted Probabilities from Bayesian Model Averaging	bma.predict
Brier Score: assessment of prediction accuracy	brier.score
Between-groups sum-of-squares to within-groups sum-of-squares ratio	BssWssFast
An image plot visualization tool	imageplot.iterate.bma
Iterative Bayesian Model Averaging: training step	iterateBMAglm.train
Iterative Bayesian Model Averaging: training and prediction	iterateBMAglm.train.predict
Iterative Bayesian Model Averaging: training, prediction and testing	iterateBMAglm.train.predict.test
Iterative Bayesian Model Averaging	iterateBMAglm.wrapper
Sample Test Data for the Iterative BMA Algorithm	testClass
Sample Test Data for the Iterative BMA Algorithm	testData
Sample Training Data for the Iterative BMA Algorithm	trainClass
Sample Training Data for the Iterative BMA Algorithm	trainData