To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("vbmp")
In most cases, you don't need to download the package archive at all.
vbmp
Variational Bayesian Multinomial Probit Regression
Bioconductor version: 3.1
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 is not available
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")
| R Script | vbmp Tutorial | |
| Reference Manual |
Details
| biocViews | Classification, Software |
| Version | 1.36.0 |
| In Bioconductor since | BioC 2.1 (R-2.6) (8 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_1.36.0.tar.gz |
| Windows Binary | vbmp_1.36.0.zip |
| Mac OS X 10.6 (Snow Leopard) | vbmp_1.36.0.tgz |
| Mac OS X 10.9 (Mavericks) | vbmp_1.36.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/vbmp/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/vbmp/ |
| Package Downloads Report | Download Stats |
Documentation »
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