vbmp
Variational Bayesian Multinomial Probit Regression
Bioconductor version: Release (3.19)
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("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 | R Script | |
Reference Manual |
Details
biocViews | Classification, Software |
Version | 1.72.0 |
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 |
See More
Suggests | Biobase(>= 2.5.5), statmod |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | vbmp_1.72.0.tar.gz |
Windows Binary (x86_64) | vbmp_1.72.0.zip |
macOS Binary (x86_64) | vbmp_1.72.0.tgz |
macOS Binary (arm64) | vbmp_1.72.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/vbmp |
Source Repository (Developer Access) | git clone [email protected]:packages/vbmp |
Bioc Package Browser | https://code.bioconductor.org/browse/vbmp/ |
Package Short Url | https://bioconductor.org/packages/vbmp/ |
Package Downloads Report | Download Stats |