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.