To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("vbmp")

In most cases, you don't need to download the package archive at all.

vbmp

 

   

This is the development version of vbmp; for the stable release version, see vbmp.

Variational Bayesian Multinomial Probit Regression

Bioconductor version: Development (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("vbmp")

Documentation

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

browseVignettes("vbmp")

 

PDF R Script vbmp Tutorial
PDF   Reference Manual

Details

biocViews Classification, Software
Version 1.43.0
In Bioconductor since BioC 2.1 (R-2.6) (9 years)
License GPL (>= 2)
Depends R (>= 2.10)
Imports
LinkingTo
Suggests Biobase(>= 2.5.5), statmod
SystemRequirements
Enhances
URL http://bioinformatics.oxfordjournals.org/cgi/content/short/btm535v1
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source vbmp_1.43.0.tar.gz
Windows Binary vbmp_1.43.0.zip
Mac OS X 10.9 (Mavericks) vbmp_1.43.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/vbmp
Package Short Url http://bioconductor.org/packages/vbmp/
Package Downloads Report Download Stats

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