Package: vbmp 1.81.0

Nicola Lama

vbmp: Variational Bayesian Multinomial Probit Regression

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.

Authors:Nicola Lama <[email protected]>, Mark Girolami <[email protected]>

vbmp_1.81.0.tar.gz
vbmp_1.81.0.zip(r-4.7)vbmp_1.81.0.zip(r-4.6)vbmp_1.81.0.zip(r-4.5)
vbmp_1.81.0.tgz(r-4.6-any)vbmp_1.81.0.tgz(r-4.5-any)
vbmp_1.81.0.tar.gz(r-4.7-any)vbmp_1.81.0.tar.gz(r-4.6-any)
vbmp_1.81.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
vbmp/json (API)

# Install 'vbmp' in R:
install.packages('vbmp', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:vbmp-1.81.0(bioc 3.24)vbmp-1.80.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

classification

3.30 score 3 scripts 528 downloads 7 exports 0 dependencies

Last updated from:5a4fa80caf. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR126
linux-devel-x86_64NOTE108
source / vignettesOK178
linux-release-x86_64NOTE124
macos-release-arm64NOTE68
macos-oldrel-arm64NOTE91
windows-develNOTE66
windows-releaseNOTE78
windows-oldrelNOTE62
wasm-releaseOK83

Exports:covParamsplotDiagnosticspredClasspredErrorpredictCPPpredLikvbmp

Dependencies:

vbmp Tutorial

Rendered fromvbmp.Rnwusingutils::Sweaveon May 29 2026.

Last update: 2013-11-01
Started: 2013-11-01