Title: Reversible Jump MCMC for the analysis of CGH arrays.
Author: Oscar Rueda <omrueda@cnio,es> and Ramon Diaz-Uriarte <rdiaz@ligarto.org>
Description: Bayesian analysis of CGH microarrays fitting Hidden Markov Chain models.
The selection of the number of states is made via their posterior probability
computed by Reversible Jump Markov Chain Monte Carlo Methods.
Packaged: Mon Jul 17 16:17:35 2006; omrueda

Packaged: Mon Aug  7 12:42:28 2006; omrueda

Package: RJaCGH
Version: 0.5.1
Date: 2006-11-06
Title: Reversible Jump MCMC for the analysis of CGH arrays.
Author: Oscar M. Rueda <omrueda@cnio,es> and Ramon Diaz-Uriarte <rdiaz@ligarto.org>
Maintainer: Oscar M. Rueda <omrueda@cnio.es>
Depends: R (>= 2.0.0)
Description: Bayesian analysis of CGH microarrays fitting Hidden Markov Chain models.
The selection of the number of states is made via their posterior probability
computed by Reversible Jump Markov Chain Monte Carlo Methods.
LazyLoad: Yes
License: GPL version 2 or newer
URL: http://www.r-project.org, http://adacgh.bioinfo.cnio.es,
Packaged: Tue Dec 12 14:42:57 2006; omrueda

Packaged: Mon Nov 13 18:07:38 2006; omrueda

computed by Reversible Jump Markov Chain Monte Carlo Methods. Also
returns probabilistic minimal common regions for gains/losses.
Packaged: Thu Dec 21 13:38:36 2006; omrueda

Packaged: Mon Jan 22 16:24:57 2007; omrueda

Packaged: Thu Apr 19 18:11:26 2007; omrueda

Packaged: Mon May  7 16:38:44 2007; omrueda

Packaged: Fri Dec  7 17:56:40 2007; hornik

Packaged: Mon Jan 14 16:33:56 2008; hornik

Packaged: Fri Feb 29 17:52:02 2008; hornik

Packaged: Wed Apr  2 17:01:37 2008; hornik

Packaged: Tue Apr 22 18:06:39 2008; hornik

Package: RJaCGH
Version: 1.5.3
Date: 2008-06-27
Title: Reversible Jump MCMC for the analysis of CGH arrays.
Author: Oscar Rueda <omrueda@cnio.es> and Ramon Diaz-Uriarte
<rdiaz@ligarto.org>. zlib from Jean-loup Gailly and Mark Adler;
see src/README. Function "getHostname.System" from package R.utils
by Henrik Bengtsson.
Maintainer: Oscar Rueda <omrueda@cnio.es>
Depends: R (>= 2.6.0)
Description: Bayesian analysis of CGH microarrays fitting Hidden Markov Chain models.
The selection of the number of states is made via their posterior probability
computed by Reversible Jump Markov Chain Monte Carlo Methods. Also
returns probabilistic common regions for gains/losses.
LazyLoad: Yes
License: GPL (>=2). For zlib 1.2.3. please see src/README.
URL: http://www.r-project.org
biocViews: Microarray, DNACopyNumber
Packaged: Fri Jun 27 16:31:55 2008; ramon