Viterbi algorithm for a DCMM model.

This class describes an independence model, represented by the probability distribution *indP* of each event
and the number of data used to compute each member of the probability distribution. march.Indep inherits
from `march.Model-class`

and therefore inherits its slots.

`indP`

:A vector of

`numeric`

representing the model probability distribution.`indC`

:A vector of

`integer`

representing the number of data used to compute each member of the probability distribution.

`march.indep.construct`

, `march.Model-class`

.

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