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vbmp

This is the released version of vbmp; for the devel version, see vbmp.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Variational Bayesian Multinomial Probit Regression


Bioconductor version: Release (3.23)

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")):

Nicola Lama, Mark Girolami. vbmp: Variational Bayesian Multinomial Probit Regression. doi:10.18129/B9.bioc.vbmp, R package version 1.80.0, https://bioconductor.org/packages/vbmp.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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 ManualPDF

Details

biocViews Classification, Software
Version1.80.0
In Bioconductor sinceBioC 2.1 (R-2.6) (19 years)
License GPL (>= 2)
Depends R (>= 2.10)
Imports
System Requirements
URLhttp://bioinformatics.oxfordjournals.org/cgi/content/short/btm535v1
See More
Suggests Biobase (>= 2.5.5), statmod
Linking To
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Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package vbmp_1.80.0.tar.gz
Windows Binary (x86_64) vbmp_1.80.0.zip
macOS Binary (big-sur-x86_64) vbmp_1.80.0.tgz
macOS Binary (sonoma-arm64) vbmp_1.80.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/vbmp
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/vbmp
Package Short Url https://bioconductor.org/packages/vbmp/
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