mltoptim {mlt} | R Documentation |
Define optimisers and their control parameters
mltoptim(auglag = list(maxtry = 5, kkt2.check = FALSE), spg = list(maxit = 10000, quiet = TRUE, checkGrad = FALSE), trace = FALSE)
auglag |
A list with control parameters for the |
spg |
A list with control parameters for the |
trace |
A logical switching trace reports by the optimisers off. |
This function sets-up functions to be called in mlt
internally.
A list of functions with arguments theta
(starting values), f
(log-likelihood),
g
(scores), ui
and ci
(linear inequality constraints).
Adding further such functions is a way to add more optimisers to mlt
.
The first one in this list converging defines the resulting model.