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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 <pistner at psu.edu> |
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 |
Package source: | fido_1.1.1.tar.gz |
Windows binaries: | r-devel: fido_1.1.1.zip, r-release: fido_1.1.1.zip, r-oldrel: fido_1.1.1.zip |
macOS binaries: | r-release (arm64): fido_1.1.1.tgz, r-oldrel (arm64): fido_1.1.1.tgz, r-release (x86_64): fido_1.1.1.tgz, r-oldrel (x86_64): fido_1.1.1.tgz |
Old sources: | fido archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.