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


Author  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] 
Maintainer  Arjen Hommersom <arjen.hommersom@ou.nl> 
License  GPL3 
Version  1.1.0 
Package repository  View on CRAN 
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