jsilve24/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'.
Getting started
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Package details |
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| Maintainer | Justin Silverman <JustinSilverman@psu.edu> |
| License | GPL-3 |
| Version | 1.1.2 |
| URL | https://jsilve24.github.io/fido/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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