jfa

Provides statistical methods for auditing as implemented in JASP for Audit (Derks et al., 2021 doi:10.21105/joss.02733). First, the package makes it easy for an auditor to plan a statistical sample, select the sample from the population, and evaluate the misstatement in the sample compliant with international auditing standards. Second, the package provides statistical methods for auditing data, including tests of digit distributions and repeated values. Finally, the package includes methods for auditing algorithms on the aspect of fairness and bias. Next to classical statistical methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) doi:10.1111/ijau.12240, Derks et al. (2024) doi:10.2308/AJPT-2021-086, and Derks et al. (2022) doi:10.31234/osf.io/8nf3e.

Last 30 days

This package has been downloaded 533 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 6,479 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 26, 2024 with 94 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.