Computes a model, for given parameters
Arguments
- model
the model
- data
a matrix containing the data (one time series per column, time series dimension on the rows)
- parameters
Parameters of the model
- marginal
logical value used to specify whether the marginal likelihood definition is used (TRUE) or not (FALSE) during the optimization. The marginal likelihood is recommended when there is at least one variable that loads on a non-stationary latent variable and the loading coefficient needs to be estimated.
- concentrated
logical value used to specify whether the likelihood is concentrated (TRUE) or not (FALSE) during the optimization