Welcome to the ‘Get started’ page of the **jfa**
package. **jfa** is an R package that provides Bayesian and
classical statistical methods for audit sampling, data auditing, and
algorithm auditing. This page points you to the vignettes accompanying
each of these three subjects.

Firstly, **jfa** facilitates statistical audit sampling.
That is, the package provides functions for planning, performing, and
evaluating an audit sample compliant with international standards on
auditing.

- Audit sampling: Get started
- Creating a prior distribution for audit sampling
- Planning statistical audit samples
- Selecting statistical audit samples
- Evaluating statistical audit samples
- Evaluating audit samples with partial misstatements
- Walkthrough of the classical audit sampling workflow
- Walkthrough of the Bayesian audit sampling workflow

Secondly, **jfa** facilitates statistical data auditing.
That is, the package includes functions for auditing data, such as
testing the distribution of first digits of a data set against Benford’s
law, or assessing whether a data set includes an unusual amount of
repeated values.

Finally, **jfa** facilitates statistical algorithm
auditing. That is, the package implements functions for auditing
algorithms, such as computing fairness metrics and testing the equality
of parity metrics across protected groups.