vbmp

Variational Bayesian Multinomial Probit Regression


Bioconductor version: Release (3.20)

Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. It estimates class membership posterior probability employing variational and sparse approximation to the full posterior. This software also incorporates feature weighting by means of Automatic Relevance Determination.

Author: Nicola Lama <nicola.lama at unina2.it>, Mark Girolami <girolami at dcs.gla.ac.uk>

Maintainer: Nicola Lama <nicola.lama at unina2.it>

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

Installation

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


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

BiocManager::install("vbmp")

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("vbmp")
vbmp Tutorial PDF R Script
Reference Manual PDF

Details

biocViews Classification, Software
Version 1.74.0
In Bioconductor since BioC 2.1 (R-2.6) (17 years)
License GPL (>= 2)
Depends R (>= 2.10)
Imports
System Requirements
URL http://bioinformatics.oxfordjournals.org/cgi/content/short/btm535v1
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Suggests Biobase(>= 2.5.5), statmod
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Package Archives

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

Source Package vbmp_1.74.0.tar.gz
Windows Binary (x86_64) vbmp_1.74.0.zip
macOS Binary (x86_64) vbmp_1.74.0.tgz
macOS Binary (arm64) vbmp_1.73.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/vbmp
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/vbmp
Bioc Package Browser https://code.bioconductor.org/browse/vbmp/
Package Short Url https://bioconductor.org/packages/vbmp/
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