jfa: Statistical Methods for Auditing

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>.

Package details

AuthorKoen Derks [aut, cre] (<https://orcid.org/0000-0002-5533-9349>)
MaintainerKoen Derks <k.derks@nyenrode.nl>
LicenseGPL (>= 3)
Version0.7.2
URL https://koenderks.github.io/jfa/ https://github.com/koenderks/jfa
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("jfa")

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jfa documentation built on Sept. 11, 2024, 7:59 p.m.