A pre-computed 4-state HMM with state-dependent log-normal distributions
on 1000
simulated observations.
data("sim_model_4lnorm")
An object of class fHMM_model
.
The model was estimated via:
controls <- set_controls(
states = 4,
sdds = "lognormal",
horizon = 1000,
fit = list(runs = 50)
)
data_sim <- prepare_data(controls, seed = 1)
sim_model_4lnorm <- fit_model(data_sim, seed = 1)