Functions for Maximum Likelihood (ML) estimation and non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the ML viewpoint. It also includes a number of convenience tools for testing and developing your own models.
|Author||Ott Toomet <email@example.com>, Arne Henningsen <firstname.lastname@example.org>, with contributions from Spencer Graves and Yves Croissant|
|Maintainer||Ott Toomet <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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