There are also several selectable line search methods. A Trust Region method is also available which prevents saddle point solutions.
Gradients can be user-provided or numerically calculated.
CML provides for statistical inference for constrained statistical models. Confidence limits from the inversion of the likelihood ratio statistic are also called profile likelihood confidence limits. The bootstrap and Bayesian procedures generate simulated parameter sets from the bootstrap and posterior distributions respectively. Procedures may be applied to these parameter sets to either produce confidence limits, expected values, or kernel density plots of the distributions Example CML is especially suited for models with complex constraints on parameters. Because CML provides for general nonlinear constraints, it is possible to enforce any type of constraint.