CML - Constrained Maximum Likelihood

CML is an applications module written in the GAUSS programming language It solves the general maximum likelihood problem subject to general constraints on the parameters - linear or nonlinear, equality or inequality. All you do is provide a function to compute the log-likelihood and CML does the rest.

CML also produces the correct statistical inference for both the constrained parameters as well as unconstrained ones. It is capable of providing four types of inference - Wald, Profile Likelihood, Bootstrap, and Bayesian.

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