Model fitting — fit_model • fHMM

This function fits a HMM to fHMM_data via numerical likelihood maximization.

Usage

fit_model(data, ncluster = 1, seed = NULL, verbose = TRUE, init = NULL)

# S3 method for fHMM_model
print(x, ...)

data: An object of class fHMM_data.
ncluster: Set the number of clusters for parallelization. By default, ncluster = 1.
seed: Set a seed for the sampling of initial values. No seed by default.
verbose: Set to TRUE to print progress messages.
init: Optionally an object of class parUncon for initialization. This can for example be the estimate of a previously fitted model model, i.e. the element model$estimate. The initial values are computed via replicate(n, jitter(init, amount = 1), simplify = FALSE), where n <- data$controls$fit$runs.
x: An object of class fHMM_model.
...: Currently not used.

An object of class fHMM_model.

The function is parallelized if ncluster > 1.