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priorsense

1.4.0Package record

Prior Diagnostics and Sensitivity Analysis

0packages dependsuggested by 5
54.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.

Changes in 1.4.0
  • priorsense is now an official Stan package, and links to pages and repositories have been updated
  • Plot help text now prints to the console rather than on the plot
  • powerscale_plot_quantities() now highlights the line segment closer to 1 when k-hat is high

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-10-17
  • ERROR12 OK, 1 ERROR2026-09-04
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • 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 1.4.0
READMEYes · 345 wordsVignettesYes · 6 · dynamicNEWSYes · 33% structured · mentions 1.4.0Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JOSS paper
Help pages
12includes a package overview page
Examples that run
91%10 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
33%

Downloads

54.1K
CRAN downloads in the past year
Rank #2,076 · ~148/day · ~4.5K/mo
Daily download trend is not available in this view yet.
3.3K30 days
8.7K90 days
54.1K1 year
Compare downloads with other packages →
Also on317 r2u6 autocran

Repository

84Stars
17Forks
2Open issues
1Open PRs
2Releases
797Commits
12Commit identities
bayesian-data-analysisbayesian-methodsprior-distributionr-packagesensitivity-analysisstanbayesianr
License file reads as GPL-3.0 · 797 commits · Last activity 2026-09-29 · +1.2% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
92%
Median days to close, 50 most recently updated closed issues
67
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-07-23 · 642026-10-14 · 84
Earlier repositories
PracticesBeta

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

Checks run against github.com/stan-dev/priorsense on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Governance and community (3)
Contributing guideFunding

Funding links: GitHub Sponsors, mc-stan.org

The repository owner accepts GitHub Sponsors

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-09-30 · The repository has a site deploy workflow

pkgdown site last built 2026-09-30

Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 3 practices
CRAN release process (1)
cran-comments.md
Research and citation (2)
CITATION.cffcodemeta.json
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)

Installing priorsense adds 35 packages (17 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, ggdist 1.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 5
Suggests, most downloaded first

Datasets

People & History

People (7)
Author, Maintainer since 1.0.0 (2024)
Contributor
Reviewer · added in 1.4.0
Reviewer · added in 1.4.0
Releases (9)

Pick two releases to compare their code metrics.

Package metadata

First published
2024-06-20
Total releases
9 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Download size
6.0 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("priorsense")

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

It points to 10.21105/joss.11036, 10.1007/s11222-023-10366-5, 10.1007/s11222-020-09982-2.

The repository also keeps a CITATION.cff.

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 priorsense version 1.4.0 [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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