Package: gaga
Version: 1.6.0
Date: 2008-09-30
Title: GaGa hierarchical model for microarray data analysis
Author: David Rossell <rosselldavid@gmail.com>.
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.5.0), Biobase, coda
Description: This package fits Rossell's generalizations of the
        Gamma-Gamma hierarchical model for microarray data analysis,
        which substantially improve the quality of the fit at a low
        computational cost. The model can be fit via empirical Bayes
        (Expectation-Maximization and Simulated Annealing) and fully
        Bayesian techniques (Gibbs and Metropolis-Hastings posterior
        sampling). Routines are provided to perform differential
        expression analysis and class prediction.
License: GPL (>= 2)
LazyLoad: no
biocViews: Bioinformatics,DifferentialExpression,Classification
Packaged: 2009-10-28 10:16:21 UTC; biocbuild
Built: R 2.10.0; i386-pc-mingw32; 2009-10-28 14:33:29 UTC; windows
