Uses of Package
dev.nm.stat.hmm

Packages that use dev.nm.stat.hmm

Package	Description
dev.nm.stat.hmm
dev.nm.stat.hmm.discrete
dev.nm.stat.hmm.mixture
dev.nm.stat.markovchain
tech.nmfin.trend.dai2011
tech.nmfin.trend.kst1995

Classes in dev.nm.stat.hmm used by dev.nm.stat.hmm

Class	Description
HiddenMarkovModel
HmmInnovation	An HMM innovation consists of a state and an observation in the state.
HMMRNG	In a (discrete) hidden Markov model, the state is not directly visible, but output, dependent on the state, is visible.

Classes in dev.nm.stat.hmm used by dev.nm.stat.hmm.discrete

Class	Description
ForwardBackwardProcedure	The forward-backward procedure is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables given a sequence of observations.
HiddenMarkovModel
HMMRNG	In a (discrete) hidden Markov model, the state is not directly visible, but output, dependent on the state, is visible.

Classes in dev.nm.stat.hmm used by dev.nm.stat.hmm.mixture

Class	Description
HiddenMarkovModel
HMMRNG	In a (discrete) hidden Markov model, the state is not directly visible, but output, dependent on the state, is visible.

Classes in dev.nm.stat.hmm used by dev.nm.stat.markovchain

Class	Description
HmmInnovation	An HMM innovation consists of a state and an observation in the state.

Classes in dev.nm.stat.hmm used by tech.nmfin.trend.dai2011

Class	Description
HMMRNG	In a (discrete) hidden Markov model, the state is not directly visible, but output, dependent on the state, is visible.

Classes in dev.nm.stat.hmm used by tech.nmfin.trend.kst1995

Class	Description
HMMRNG	In a (discrete) hidden Markov model, the state is not directly visible, but output, dependent on the state, is visible.