Reversible Jump MCMC for the Analysis of CGH Arrays

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.


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install.packages("RJaCGH")

2.0.4 by Oscar Rueda, 5 years ago


http://www.r-project.org


Browse source code at https://github.com/cran/RJaCGH


Authors: Oscar Rueda <[email protected]> and Ramon Diaz-Uriarte <[email protected]>. zlib from Jean-loup Gailly and Mark Adler; see README. Function "getHostname.System" from package R.utils by Henrik Bengtsson.


Documentation:   PDF Manual  


Task views:


GPL-3 license


System requirements: zlib headers and library.


See at CRAN