Description Details Slots See Also
This class describes a Double Chain Markov Model (DCMM) represented by Pi, the probability distributions of the first
hidden states; by A, the transition matrix between hidden states; by RB, the transition matrix between sucessive output.
march. Dcmm extends march.Model-class
class and therefore inherits its slots.
The model used here is described in :
Berchtold, A.: The Double Chain Markov Model. Commun. Stat., Theory Methods 28 (1999), pp. 2569-2589
Berchtold, A.: High-order extensions of the Double Chain Markov Model. Stochastic Models 18 (2002), pp. 193-227.
Pi
:A 3D matrix of numeric
representing the probability distribution
of the first hidden state.
A
:A matrix of numeric
representing the transition matrix between hidden states.
RB
:A 3D matrix of numeric
representing the transition matrix between successive
output, in a reduced form.
M
:An integer
value representing the number of hidden state.
orderVC
:An integer
value representing the order of the visible Markov chain.
orderHC
:An integer
value representing the order of the hidden Markov chain.
Amodel
:A vector of character
string representing the modeling of the hidden transition matrix (complete, mtd or mtdg)
Cmodel
:A vector of character
string representing the modeling of the visible transition matrix (complete, mtd or mtdg)
march.dcmm.construct
, march.Model-class
.
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