Fit a prepared model — model.fit • pandista

Main call for fitting a prepared model that has been created by pandista().

Usage

model.fit(modelObj, LL.method = "cpp", hessian = TRUE, opt.method = "optim")

modelObj: A pandista model object, either fitted or unfitted. Any previous fit will be overwritten.
LL.method: A string, either "cpp" (default) or "R" indicating which code module should be used to compute the log likelihood
hessian: A boolean, either TRUE (default) or FALSE, indicating whether the Hessian matrix should be returned
opt.method: A string, either "optim" (default) or "nlm" indicating which R optimization function should be used to optimize the log likelihood