MHMM
Finite Mixture of Hidden Markov Model
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)
- Version1.0.0
- R version≥ 3.4.4
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/20/2020
Team
Matthieu Marbac
Marie Du-Roy-De-Chaumary
Fabien Navarro
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- Depends1 package
- Imports6 packages
- Linking To3 packages