Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Regression Models ("Mongrel Models") using MAP estimation (with the ADAM optimizer) and Laplace Approximation. Key functionality is implemented in C++ for scalability.
|Maintainer||Justin Silverman <[email protected]du>|
|License||What license is it under?|
|Package repository||View on GitHub|
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