| Name : R-FourWayHMM
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.8.1
| Date : 2024-06-07 08:02:35
|
| Group : Development/Libraries/Other
| Source RPM : R-FourWayHMM-1.0.0-lp155.8.1.src.rpm
|
| Size : 0.08 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Parsimonious Hidden Markov Models for Four-Way Data
|
Description :
Implements parsimonious hidden Markov models for four-way data via
expectation- conditional maximization algorithm, as described in
Tomarchio et al. (2020) < arXiv:2107.04330>. The matrix-variate normal
distribution is used as emission distribution. For each hidden state,
parsimony is reached via the eigen-decomposition of the covariance
matrices of the emission distribution. This produces a family of 98
parsimonious hidden Markov models.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
