maxLikelihood {BMAmevt} | R Documentation |
Maximum likelihood optimization
maxLikelihood(data, model, init = NULL, maxit = 500, method = "L-BFGS-B", hess = T, link, unlink)
data |
The angular data to be used for inference |
model |
A list made of
.
|
init |
NULL or a real vector of size |
maxit |
maximum number of iterations to be performed by
function |
method |
The method to be used by |
hess |
logical: should an approximation of the hessian be performed ? |
link |
the link function from the natural marginal parameter spaces to the real line. |
unlink |
the inverse link function. If |
The list returned by optim
and the AIC and BIC criteria