Maxlik/Maximum Likelihood vs MLMT/ Maximum Likelihood MT

What are the differences between Maxlik/Maximum Likelihood vs MLMT/ Maximum Likelihood MT?

1 Answer



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Maxlikmt is a more advanced version of Maxlik. First, it uses a PV structure for parameters, and a DS structure for data. The PV structure allows you to store parameters in their original state, i.e., a matrix, or a vector, or symmetric matrix, and there is a method for specifying which elements are fixed and with are free parameters.

The use of structures means that the Maxlikmt run can be multi-threaded, i.e., you can run several of them at a time.

Also Maxlikmt allows for bounds on parameters.

Note:  MLMT is not backwards compatible.  If a user wants to run older code, they may need to use Maxlik 5.0.

Your Answer

1 Answer

0

Maxlikmt is a more advanced version of Maxlik. First, it uses a PV structure for parameters, and a DS structure for data. The PV structure allows you to store parameters in their original state, i.e., a matrix, or a vector, or symmetric matrix, and there is a method for specifying which elements are fixed and with are free parameters.

The use of structures means that the Maxlikmt run can be multi-threaded, i.e., you can run several of them at a time.

Also Maxlikmt allows for bounds on parameters.

Note:  MLMT is not backwards compatible.  If a user wants to run older code, they may need to use Maxlik 5.0.


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