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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) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.
Package details |
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| Author | Justin Silverman [aut], Kim Roche [ctb], Michelle Nixon [ctb, cre] |
| Maintainer | Michelle Nixon <pistner@psu.edu> |
| License | GPL-3 |
| Version | 1.1.1 |
| URL | https://jsilve24.github.io/fido/ |
| Package repository | View on CRAN |
| Installation |
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