mhmmdata-class

<dl class="dl-horizontal">
 <dt>nobs</dt><dd>numeric. number of subjects</dd>
 <dt>yi</dt><dd>list. each element corresponds to the sequences of a single subject.</dd>
 <dt>nbseq</dt><dd>nbseq. number of sequences for each subject.</dd>
 <dt>nbtimeobs</dt><dd>list. length of each sequence.</dd>
 <dt>tstart</dt><dd>list. starting time of each sequence.</dd>
</dl>

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>.

Matthieu Marbac

MHMM

Finite Mixture of Hidden Markov Model

mhmmdata-class function

<dl class='dl-horizontal'>
 <dt>nobs</dt><dd>numeric. number of subjects</dd>
 <dt>yi</dt><dd>list. each element corresponds to the sequences of a single subject.</dd>
 <dt>nbseq</dt><dd>nbseq. number of sequences for each subject.</dd>
 <dt>nbtimeobs</dt><dd>list. length of each sequence.</dd>
 <dt>tstart</dt><dd>list. starting time of each sequence.</dd>
</dl>

mhmmdata-class: Constructor of `'>mhmmdata` class

Description

Arguments

Examples