To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("lapmix")

In most cases, you don't need to download the package archive at all.

lapmix

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see lapmix.

Laplace Mixture Model in Microarray Experiments

Bioconductor version: 2.10

Laplace mixture modelling of microarray experiments. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes. The main purpose is to identify differentially expressed genes.

Author: Yann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein

Maintainer: Yann Ruffieux <yann.ruffieux at epfl.ch>

Citation (from within R, enter citation("lapmix")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("lapmix")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("lapmix")
PDF lapmix example
PDF Reference Manual

Details

Version 1.22.0
In Bioconductor since BioC 1.9 (R-2.4) (9.5 years)
License GPL (>= 2)
Depends R (>= 2.6.0), stats
Imports Biobase, graphics, grDevices, methods, stats, tools, utils
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Package Archives

Follow Installation instructions to use this package in your R session.

Package Source lapmix_1.22.0.tar.gz
Windows Binary lapmix_1.22.0.zip
Mac OS X 10.6 (Snow Leopard)
Package Downloads Report Download Stats

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