This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see vbmp.
Bioconductor version: 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")
):
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.
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 |
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 | |
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 | flowml |
Links To Me | |
Build Report |
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 |
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