| Name : R-MixtureMissing
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 12:09:52
|
| Group : Development/Libraries/Other
| Source RPM : R-MixtureMissing-1.0.2-lp153.2.7.src.rpm
|
| Size : 0.28 MB
| |
| Packager : (none)
| |
| Summary : Robust Model-Based Clustering for Data Sets with Missing Values at Random
|
Description :
Implementation of robust model based cluster analysis with missing
data. The models used are: Multivariate Contaminated Normal Mixtures
(MCNM), Multivariate Student\'s t Mixtures (MtM), and Multivariate
Normal Mixtures (MNM) for data sets with missing values at random. See
\"Model-Based Clustering and Outlier Detection with Missing Data\" by
Hung Tong and Cristina Tortora (2022) < doi:10.1007/s11634-021-00476-1>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
