Obtain a point estimate by maximizing the joint posterior from the StanTVA model.
optimizing(object, ...)# S4 method for stantvamodel
optimizing(object, data, init, seed = sample.int(.Machine$integer.max, 1), ...)
A list, representing the maximum-likelihood estimate, see rstan::optimizing().
The StanTVA model object.
Further arguments passed to rstan::optimizing().
The data to which the model should be fitted, usually a data.frame.
How to initialize the individual chains, see rstan::optimizing(). Note that for random, any lower-level hierarchical (e.g., subject-level) parameters are initialized to zero.
Seed for random number generation and chain initialization
optimizing(stantvamodel): method