This function constructs an object of class fHMM_model, which
contains details about the fitted (hierarchical) Hidden Markov model.
fHMM_model(
data,
estimate,
nlm_output,
estimation_time,
ll,
lls,
gradient,
hessian,
decoding
)An object of class fHMM_model.
An object of class fHMM_data.
A numeric vector of unconstrained model estimates.
The output of nlm for the selected optimization run.
A diff.time object, the total estimation time.
A numeric, the model log-likelihood.
A numeric vector, the model log-likelihoods in all optimization runs.
A numeric vector, the gradient at the optimum.
A matrix, the Hessian at the optimum.
A numeric vector, the decoded time series.