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.


Reference manual

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2.0.4 by Oscar Rueda, 5 years ago

Browse source code at

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