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>].
|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 <email@example.com>|
|Package repository||View on CRAN|
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