Description Usage Arguments Value Author(s) See Also
fitmle
is a secondary function called during estimation runs. It
performs the optimization of the model parameters by the method of the maximum
likelihood, i.e. the minimization of an objective function defined as the
exact negative log likelihood of the observed data, given the structural
model, the model of residual variability, and the parameter estimates. This
minimization is performed by the Nelder-Mead simplex algorithm implemented in
fminsearch
from the neldermead package. fitmle
is
typically not called directly by users.
1 2 3 |
problem |
A list containing the following levels:
|
estim.options |
A list of estimation options containing two elements
|
files |
A list of input used for the analysis. The following elements are expected and none of them could be null:
|
Return a list with two elements: estimations
which contains the vector
of final parameter estimates and fval
the minimal value of the
objective function.
Sebastien Bihorel (sb.pmlab@gmail.com)
Pawel Wiczling
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.