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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
• Data auditing: Get started
• Algorithm auditing: Get started

The functionality of thejfa package and its intended workflow are implemented with a graphical user interface in theAudit module ofJASP, a free and open-source software program for statistical analyses.

• Package website (online documentation, vignettes)
• Textbook (detailed information, code examples)
• Ask a question (discussion forum)
• Open an issue (bug reports, feature requests)

The most recentjfa release can be installed fromCRAN via:

install.packages("jfa")

To install the development version from GitHub, first make sure that you can install therstan package and C++ toolchain by following theseinstructions. Oncerstan is successfully installed, you can installjfa from GitHub using theremotes package by executing the following command in R:

# install.packages("remotes")remotes::install_github("koenderks/jfa",INSTALL_opts="--no-multiarch")