CRAN/E | jfa

jfa

Statistical Methods for Auditing

Installation

About

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. (2021) doi:10.31234/osf.io/kzqp5, and Derks et al. (2022) doi:10.31234/osf.io/8nf3e.

Citation jfa citation info
koenderks.github.io/jfa/
github.com/koenderks/jfa
System requirements C++17, GNU make
Bug report File report

Key Metrics

Version 0.7.1
R ≥ 3.5.0
Published 2024-03-07 58 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks jfa results
Language en-US

Downloads

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Maintainer

Maintainer

Koen Derks

k.derks@nyenrode.nl

Authors

Koen Derks

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Get started with the jfa package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

jfa archive

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

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

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