| Name : R-MoEClust
| |
| Version : 1.5.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:41:21
|
| Group : Development/Libraries/Other
| Source RPM : R-MoEClust-1.5.2-lp153.1.4.src.rpm
|
| Size : 2.19 MB
| |
| Packager : (none)
| |
| Summary : Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
|
Description :
Clustering via parsimonious Gaussian Mixtures of Experts using the
MoEClust models introduced by Murphy and Murphy (2020)
< doi:10.1007/s11634-019-00373-8>. This package fits finite Gaussian
mixture models with a formula interface for supplying gating and/or
expert network covariates using a range of parsimonious covariance
parameterisations from the GPCM family via the EM/CEM algorithm.
Visualisation of the results of such models using generalised pairs
plots and the inclusion of an additional noise component is also
facilitated. A greedy forward stepwise search algorithm is provided for
identifying the optimal model in terms of the number of components, the
GPCM covariance parameterisation, and the subsets of gating/expert
network covariates.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
