Constructor of a model object

This function constructs an object of class fHMM_model, which contains details about the fitted (hierarchical) Hidden Markov model.

Usage

fHMM_model(
  data,
  estimate,
  nlm_output,
  estimation_time,
  ll,
  lls,
  gradient,
  hessian,
  decoding
)

Arguments

data

An object of class fHMM_data.

estimate

A numeric vector of unconstrained model estimates.

nlm_output

The output of nlm for the selected optimization run.

estimation_time

A diff.time object, the total estimation time.

ll

A numeric, the model log-likelihood.

lls

A numeric vector, the model log-likelihoods in all optimization runs.

gradient

A numeric vector, the gradient at the optimum.

hessian

A matrix, the Hessian at the optimum.

decoding

A numeric vector, the decoded time series.

Value

An object of class fHMM_model.