fido_package

<p>Provides methods for fitting and inspection of Bayesian Multinomial 
 Logistic Normal Models using MAP estimation 
 (with the ADAM optimizer) and Laplace Approximation. Key functionality is 
 implemented in C++ for scalability.</p>

Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation
and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for
scalability. 'fido' replaces the previous package 'stray'.

Michelle Nixon

fido

Bayesian Multinomial Logistic Normal Regression

fido_package: fido: Fitting and Analysis of Multinomial Logistic Normal Models

Description

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