fido: Bayesian Multinomial Logistic Normal Regression

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) <>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.

Package details

AuthorJustin Silverman [aut], Kim Roche [ctb], Michelle Nixon [ctb, cre]
MaintainerMichelle Nixon <>
Package repositoryView on CRAN
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fido documentation built on June 22, 2024, 9:36 a.m.