fido: Bayesian Multinomial Logistic Normal Regression (original) (raw)
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'.
| Version: | 1.1.1 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| Imports: | Rcpp (≥ 0.12.17), dplyr, ggplot2, purrr, tidybayes, rlang, tidyr |
| LinkingTo: | Rcpp, RcppEigen, RcppNumerical, RcppZiggurat, BH |
| Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown, ape, numDeriv, LaplacesDemon, MCMCpack, phyloseq |
| Published: | 2024-06-05 |
| DOI: | 10.32614/CRAN.package.fido |
| Author: | Justin Silverman [aut], Kim Roche [ctb], Michelle Nixon [ctb, cre] |
| Maintainer: | Michelle Nixon |
| BugReports: | https://github.com/jsilve24/fido/issues |
| License: | GPL-3 |
| URL: | https://jsilve24.github.io/fido/ |
| NeedsCompilation: | yes |
| Citation: | fido citation info |
| Materials: | NEWS |
| CRAN checks: | fido results |
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