This package provides functions to estimate sparse covariance in heterogenous samples using Dirichlet Process Mixtures (DPMs) with Gaussian Graphical Model (GGM) kernel distributions.
| Version: | 0.14 |
| Depends: | R (≥ 2.10), lattice |
| Published: | 2011-11-25 |
| Author: | Alex Lenkoski, Andreas Neudecker |
| Maintainer: | Alex Lenkoski <alex.lenkoski at uni-heidelberg.de> |
| License: | GPL (≥ 2) |
| NeedsCompilation: | yes |
| CRAN checks: | DPM.GGM results |
| Package source: | DPM.GGM_0.14.tar.gz |
| MacOS X binary: | DPM.GGM_0.14.tgz |
| Windows binary: | DPM.GGM_0.14.zip |
| Reference manual: | DPM.GGM.pdf |
| Old sources: | DPM.GGM archive |