| Name : R-ClustMMDD
| |
| Version : 1.0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.3.3
| Date : 2024-07-18 15:02:47
|
| Group : Development/Libraries/Other
| Source RPM : R-ClustMMDD-1.0.4-lp155.3.3.src.rpm
|
| Size : 1.03 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Variable Selection in Clustering by Mixture Models for Discrete Data
|
Description :
An implementation of a variable selection procedure in clustering by
mixture models for discrete data (clustMMDD). Genotype data are
examples of such data with two unordered observations (alleles) at each
locus for diploid individual. The two-fold problem of variable
selection and clustering is seen as a model selection problem where
competing models are characterized by the number of clusters K, and the
subset S of clustering variables. Competing models are compared by
penalized maximum likelihood criteria. We considered asymptotic
criteria such as Akaike and Bayesian Information criteria, and a family
of penalized criteria with penalty function to be data driven
calibrated.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
