vbmp

Variational Bayesian Multinomial Probit Regression

Bioconductor version: Release (3.17)

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 "4.3") 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	1.68.0
In Bioconductor since	BioC 2.1 (R-2.6) (16 years)
License	GPL (>= 2)
Depends	R (>= 2.10)
Imports
Linking To
Suggests	Biobase(>= 2.5.5), statmod
System Requirements
Enhances
URL	http://bioinformatics.oxfordjournals.org/cgi/content/short/btm535v1

Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	vbmp_1.68.0.tar.gz
Windows Binary	vbmp_1.68.0.zip
macOS Binary (x86_64)	vbmp_1.68.0.tgz
macOS Binary (arm64)	vbmp_1.68.0.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/
Package Downloads Report	Download Stats