RJaCGH: 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.
| Version: |
2.0.2 |
| Depends: |
R (≥ 2.13) |
| Published: |
2011-10-10 |
| Author: |
Oscar Rueda and Ramon Diaz-Uriarte. zlib from Jean-loup Gailly and Mark Adler;
see README. Function "getHostname.System" from package R.utils
by Henrik Bengtsson. |
| Maintainer: |
Oscar Rueda <rueda.om at gmail.com> |
| License: |
GPL-3 |
| URL: |
http://www.r-project.org |
| NeedsCompilation: |
yes |
| Materials: |
README |
| In views: |
Bayesian |
| CRAN checks: |
RJaCGH results |
Downloads: