hmmaExampleData

This dataset has been generated using a HMM-A with two different Bayesian
networks. The observations consist of 100 sequences of length 20.

datasets

Asymmetric hidden Markov model (HMM-A) learning.
HMM-As are similar to regular HMMs, but use Bayesian Networks (BNs) in
their emission distribution. The HMM-As can therefore offer more problem
insight [Bueno et al. 2017, <doi:10.1016/j.ijar.2017.05.011>].

Arjen Hommersom

hmma

Constructs Asymmetric Hidden Markov Models

Marcos L.P Bueno

Joop Thibaudier

Marco Scutari

Robert Ness

Robert Gentleman and Ross Ihaka 

The R Development Core Team 

The R Foundation 

hmmaExampleData function

A list with the following items<dl class="dl-horizontal">
 <dt>x</dt><dd>All observations.</dd>
 <dt>N</dt><dd>The length of the observation sequence.</dd>
</dl>

Format

An example dataset for use on HMM-As — hmmaExampleData

A list with the following items<dl class='dl-horizontal'>
 <dt>x</dt><dd>All observations.</dd>
 <dt>N</dt><dd>The length of the observation sequence.</dd>
</dl>

An example dataset for use on HMM-As

hmmaExampleData: An example dataset for use on HMM-As

Description

Usage

Arguments

Format

Details