https://github.com/koenderks/jfa
jfa is an R package that provides statistical methods for auditing. Its functionality and intended workflow are implemented with a graphical user interface in the Audit module of JASP (https://jasp-stats.org), a free and open-source software program for statistical analyses.
https://github.com/koenderks/jfa
algorithm-auditing audit audit-sampling bayesian data-auditing jasp jasp-for-audit r r-package rstats statistical-audit statistics
Last synced: 11 months ago
JSON representation
jfa is an R package that provides statistical methods for auditing. Its functionality and intended workflow are implemented with a graphical user interface in the Audit module of JASP (https://jasp-stats.org), a free and open-source software program for statistical analyses.
- Host: GitHub
- URL: https://github.com/koenderks/jfa
- Owner: koenderks
- License: gpl-3.0
- Created: 2019-11-30T08:54:14.000Z (over 6 years ago)
- Default Branch: development
- Last Pushed: 2025-06-18T19:44:15.000Z (12 months ago)
- Last Synced: 2025-06-18T20:37:27.246Z (12 months ago)
- Topics: algorithm-auditing, audit, audit-sampling, bayesian, data-auditing, jasp, jasp-for-audit, r, r-package, rstats, statistical-audit, statistics
- Language: R
- Homepage: https://koenderks.github.io/jfa
- Size: 92.8 MB
- Stars: 8
- Watchers: 4
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Awesome Lists containing this project
README
[](https://cran.r-project.org/package=jfa)
[](https://github.com/koenderks/jfa/actions)
[](https://app.codecov.io/gh/koenderks/jfa)
[](https://github.com/koenderks/jfa/issues?q=is%3Aopen+is%3Aissue+label%3Abug)
[](https://cranlogs.r-pkg.org)
[](https://www.gnu.org/licenses/gpl-3.0.en.html)
# jfa: Statistical Methods for Auditing 
**jfa** is an R package that provides statistical methods for auditing. The package includes functions for planning, performing, and evaluating audit samples compliant with international auditing standards, as well as functions for auditing data, such as testing the distribution of leading digits against Benford's law, and functions for auditing algorithms with respect to fairness. In addition to offering classical (frequentist) methods, **jfa** also provides a straightforward implementation of their Bayesian counterparts.
- [Audit sampling: Get started](https://koenderks.github.io/jfa/articles/audit-sampling.html)
- [Data auditing: Get started](https://koenderks.github.io/jfa/articles/data-auditing.html)
- [Algorithm auditing: Get started](https://koenderks.github.io/jfa/articles/algorithm-auditing.html)
The functionality of the **jfa** package and its intended workflow are implemented with a graphical user interface in the [Audit](https://github.com/jasp-stats/jaspAudit) module of [JASP](https://jasp-stats.org), a free and open-source software program for statistical analyses.
---
### Resources
- [Package website](https://koenderks.github.io/jfa/) (online documentation, vignettes)
- [Textbook](https://koenderks.github.io/sasr/) (detailed information, code examples)
- [Ask a question](https://github.com/koenderks/jfa/discussions) (discussion forum)
- [Open an issue](https://github.com/koenderks/jfa/issues) (bug reports, feature requests)
### Installation
#### Latest Release
The most recent **jfa** release can be installed from [CRAN](https://cran.r-project.org/package=jfa) via:
```r
install.packages("jfa")
```
#### Development Version
To install the development version from GitHub, first make sure that you can install the **rstan** package and C++ toolchain by following these [instructions](https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started). Once **rstan** is successfully installed, you can install **jfa** from GitHub using the **remotes** package by executing the following command in R:
```r
# install.packages("remotes")
remotes::install_github("koenderks/jfa", INSTALL_opts = "--no-multiarch")
```