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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: | 1.0.4 |
| 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, MCMCpack, MicrobeDS, phyloseq |
| Published: | 2023-03-24 |
| 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 |
| Additional_repositories: | https://michellepistner.github.io/fidoRepo |
| Citation: | fido citation info |
| Materials: | NEWS |
| CRAN checks: | fido results |
| Reference manual: | fido.pdf |
| Vignettes: |
Introduction to fido::Pibble mitigating-pcrbias intro_fido_basset Joint Modeling (e.g., Multiomics) with fido::Orthus picking_priors |
| Package source: | fido_1.0.4.tar.gz |
| Windows binaries: | r-devel: fido_1.0.4.zip, r-release: fido_1.0.4.zip, r-oldrel: fido_1.0.4.zip |
| macOS binaries: | r-release (arm64): fido_1.0.4.tgz, r-oldrel (arm64): fido_1.0.4.tgz, r-release (x86_64): fido_1.0.4.tgz, r-oldrel (x86_64): fido_1.0.4.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.
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