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>, Derks et al. (2022) <doi:10.31234/osf.io/8nf3e> Derks et al. (2024) <doi:10.31234/osf.io/tgq5z>, and Derks et al. (2025) <doi:10.31234/osf.io/b8tu2>.
Version: 0.7.3 Depends: R (≥ 3.5.0) Imports: bde (≥ 1.0.1.1), extraDistr (≥ 1.9.1), ggplot2 (≥ 3.4.2), methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), rstantools (≥ 2.2.0), stats, truncdist (≥ 1.0-2) LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0) Suggests: benford.analysis (≥ 0.1.5), BenfordTests (≥ 1.2.0), BeyondBenford (≥ 1.4), fairness, knitr, MUS (≥ 0.1.6), rmarkdown, samplingbook (≥ 1.2.4), testthat Published: 2025-03-10 DOI: 10.32614/CRAN.package.jfa Author: Koen Derks [aut, cre], Lotte Mensink [ctb], Federica Picogna [ctb] Maintainer: Koen Derks <k.derks at nyenrode.nl> BugReports: https://github.com/koenderks/jfa/issues License: GPL (≥ 3) URL: https://koenderks.github.io/jfa/, https://github.com/koenderks/jfa NeedsCompilation: yes SystemRequirements: C++17, GNU make Language: en-US Citation: jfa citation info Materials: README NEWS CRAN checks: jfa results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=jfa to link to this page.
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