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causact

0.6.0Package record

Fast, Easy, and Visual Bayesian Inference

0packages depend
8.9Kdownloads / year
81.4%test coverage
13/13flavors OK

Overview

About

Accelerate Bayesian analytics workflows in 'R' through interactive modelling, visualization, and inference. Define probabilistic graphical models using directed acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians, and programmers. This package relies on interfacing with the 'numpyro' python package.

Install

Health

CRAN checks
13OK
Slowest check: 8.0 min · r-release-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
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.6.0
READMEYes · 958 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 0.6.0Citation fileYes · cites a publicationWebsiteYes
Cites a JOSS paper
Help pages
33 (1 internal)includes a package overview page
Examples that run
83%10 run in a plain check · 2 never run
Exported functions with examples
71%
Documented parameters
91%
Return-value docs
88%
Help pages citing references
0%

Downloads

8.9K
CRAN downloads in the past year
Rank #5,503 · ~24/day · ~744/mo
Daily download trend is not available in this view yet.
61430 days
1.5K90 days
8.9K1 year
Compare downloads with other packages →
Also on203 r2u16 autocran1.3K conda_forge115 c2d4u

Repository

47Stars
12Forks
10Open issues
0Open PRs
12Releases
391Commits
6Commit identities
bayesian-inferencedagsposterior-probabilityprobabilistic-graphical-modelsprobabilistic-programmingrstats-package
391 commits · Last activity 2025-09-12 · 0% stars, 30d · The default branch showed an older version (0.5.8.9000) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
35%
Median days to close, 50 most recently updated closed issues
5
Median days to close, 50 most recently updated closed PRs
5

Stars over time

2025-08-10 · 472026-07-07 · 47
PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/flyaflya/causact on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Governance and community (2)
Code of conductContributing guide
Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing causact adds 73 packages (37 with compiled code, 63 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

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

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.3.1 (2020), Copyright holder
Contributor
Contributor
Contributor
Releases (13)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.6.0Latest
    record
    2025-09-12 · current release · diff ↗
  • 0.5.8
    record
    2025-08-22 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.5.7
    record
    2025-01-15 · diff ↗
  • 0.5.5
    record
    2024-04-25 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.5.4
    record
    2024-02-25 · diff ↗
  • 0.5.3
    record
    2023-09-05 · diff ↗
  • 0.5.2
    record
    2023-08-19 · diff ↗ ·
    removed 2 exports
    generate_dot2, replaceLabels
    added 26 exports
    .onLoad, bernoulli, beta, binomial, categorical, cauchy, chi_squared, dag_numpyro, dirichlet, exponential, gamma, install_causact_deps, inverse_gamma, laplace, lkj_correlation, logistic, lognormal, multinomial, multivariate_normal, negative_binomial, normal, pareto, poisson, student, uniform, weibull
  • R
    R 4.3.0 released · 2023-04-21
  • 0.4.2
    record
    2022-06-14 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.1
    record
    2022-01-19 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.4.0
    record
    2021-01-25 · diff ↗
Show 4 earlier eventsHide 4 earlier events
  • 0.3.3
    record
    2020-07-25 · diff ↗ ·
    added 1 export
    meaningfulLabels
  • 0.3.2
    record
    2020-07-09 · diff ↗
  • 0.3.1
    record
    2020-06-24
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-24
Total releases
13 / 6 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
520 KB / 13 files
Download size
4.1 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("causact")

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

It points to 10.21105/joss.04415.

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 causact version 0.6.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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