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Bayesian Multinomial Logistic Normal Regression

0packages depend
3.8Kdownloads / year
72.2%test coverage
13/13flavors OK

Overview

About

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'.

Install

Health

CRAN checks
13OK
Slowest check: 14.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.2
README· In the repository, left out of the releaseVignettesYes · 5 · dynamicNEWSYes · 100% structured · does not mention 1.1.2Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
77includes a package overview page
Examples that run
100%23 run in a plain check
Exported functions with examples
40%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
22%

Downloads

3.8K
CRAN downloads in the past year
Rank #10,249 · ~10/day · ~316/mo
Daily download trend is not available in this view yet.
39330 days
99690 days
3.8K1 year
Compare downloads with other packages →
Also on447 r2u

Repository

20Stars
7Forks
3Open issues
0Open PRs
0Releases
548Commits
10Commit identities
548 commits · Last activity 2026-05-22 · Default branch at 1.1.4, ahead of CRAN 1.1.2 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
644
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/jsilve24/fido on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2024-05-16 · The repository has a site deploy workflow

pkgdown site last built 2026-05-22

Lint, format, editor (1)
RStudio project
Git structural (1)
Submodules
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing fido adds 49 packages (26 with compiled code, 53 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.1.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.1.2 (2025)
Contributor
Contributor

Previously maintained by Michelle Nixon (1.0.0 to 1.1.1).

Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.2Latest
    record
    2025-02-27 · current release · diff ↗
  • 1.1.1
    record
    2024-06-05 · diff ↗
  • 1.1.0
    record
    2024-05-30 · diff ↗ ·
    removed 11 exports
    as.list, coef, gradMaltipooCollapsed, hessMaltipooCollapsed, loglikMaltipooCollapsed, maltipoo, maltipoofit, optimMaltipooCollapsed, predict, print, summary
    added 2 exports
    r2, uncollapsePibble_sigmaKnown
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.4
    record
    2023-03-24 · diff ↗
  • 1.0.3
    record
    2022-08-23 · diff ↗
  • 1.0.2
    record
    2022-07-06 · diff ↗
  • 1.0.1
    record
    2022-05-17 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    record
    2022-02-16
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-02-16
Total releases
8 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
951 KB / 4 files
Download size
2.3 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("fido")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fido version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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