| Name : R-MHMM
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.11.19
| Date : 2024-09-12 10:44:05
|
| Group : Development/Libraries/Other
| Source RPM : R-MHMM-1.0.0-lp153.11.19.src.rpm
|
| Size : 0.47 MB
| |
| Packager : (none)
| |
| Summary : Finite Mixture of Hidden Markov Model
|
Description :
Estimation of the latent states and partition by maximum likelihood.
Model can be used for analyzing accelerometer data. In such a case, the
latent states corresponds to activity levels and the partition permits
to consider heterogeneity within the population. Emission laws are
zero-inflated gamma distributions. Their parameters depends on the
latent states but not on the partition, to compare the time spent by
activity levels between classes. Model description is available in Du
Roy de Chaumaray, M. and Marbac, M. and Navarro, F. (2019)
< arXiv:1906.01547>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
