To install this package, start R and enter:
source("http://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: 3.0
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:
source("http://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 | 1.34.0 |
| In Bioconductor since | BioC 2.1 (R-2.6) |
| 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_1.34.0.tar.gz |
| Windows Binary | vbmp_1.34.0.zip |
| Mac OS X 10.6 (Snow Leopard) | vbmp_1.34.0.tgz |
| Mac OS X 10.9 (Mavericks) | vbmp_1.34.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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