Package: vbmp 1.73.0
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:
vbmp_1.73.0.tar.gz
vbmp_1.73.0.zip(r-4.5)vbmp_1.73.0.zip(r-4.4)vbmp_1.73.0.zip(r-4.3)
vbmp_1.73.0.tgz(r-4.4-any)vbmp_1.73.0.tgz(r-4.3-any)
vbmp_1.73.0.tar.gz(r-4.5-noble)vbmp_1.73.0.tar.gz(r-4.4-noble)
vbmp_1.73.0.tgz(r-4.4-emscripten)vbmp_1.73.0.tgz(r-4.3-emscripten)
vbmp.pdf |vbmp.html✨
vbmp/json (API)
| # Install 'vbmp' in R: |
| install.packages('vbmp', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- BRCA12 - BRCA tumour dataset
On BioConductor:vbmp-1.73.0(bioc 3.20)vbmp-1.72.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:ae8fed1649
Exports:covParamsplotDiagnosticspredClasspredErrorpredictCPPpredLikvbmp
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| BRCA tumour dataset | BRCA12 |
| VBMP covariance functions parameters | covParams |
| VBMP Lower bound estimate | lowerBound |
| VBMP covariance diagnostics plot | plotDiagnostics |
| VBMP Predicted class values | predClass |
| Out-of-Sample VBMP Prediction error | predError |
| VBMP predict functions parameters | predictCPP |
| VBMP predictive likelihood estimate | predLik |
| Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. | vbmp |