A pre-computed 2-state HMM with state-dependent gamma distributions with
means fixed to 0.5 and 2 on 500 simulated observations.
Usage
data("sim_model_2gamma")Format
An object of class fHMM_model.
Details
The model was estimated via:
controls <- set_controls(
states = 2,
sdds = "gamma(mu = 1|2)",
horizon = 200,
fit = list("runs" = 10)
)
pars <- fHMM_parameters(
controls = controls,
Gamma = matrix(c(0.9, 0.2, 0.1, 0.8), nrow = 2),
sigma = c(0.5, 1),
seed = 1
)
data_sim <- prepare_data(controls, true_parameters = pars, seed = 1)
sim_model_2gamma <- fit_model(data_sim, seed = 1)
sim_model_2gamma <- decode_states(sim_model_2gamma)
sim_model_2gamma <- compute_residuals(sim_model_2gamma)
summary(sim_model_2gamma)