Constructs Asymmetric Hidden Markov Models

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, ].


Reference manual

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1.1.0 by Arjen Hommersom, a year ago

Browse source code at

Authors: Marcos L.P Bueno [aut] , Arjen Hommersom [aut, cre] , Joop Thibaudier [aut] , Marco Scutari [ctb] , Robert Ness [ctb] , Robert Gentleman and Ross Ihaka [cph] , The R Development Core Team [cph] , The R Foundation [cph]

Documentation:   PDF Manual  

GPL-3 license

Imports bnlearn, mhsmm, MCMCpack, Rgraphviz, graph, methods

Suggests knitr, testthat, rmarkdown

See at CRAN