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. Next to classical audit sampling 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>. Second, the package provides statistical methods for auditing data, including (Bayesian) tests of digit distributions and tests for repeated values.

Version:	0.6.6
Depends:	R (≥ 3.5.0)
Imports:	bde, extraDistr, ggplot2, methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.2.0), stats, truncdist
LinkingTo:	BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:	benford.analysis (≥ 0.1.5), BenfordTests (≥ 1.2.0), BeyondBenford (≥ 1.4), kableExtra, knitr, MUS (≥ 0.1.6), rmarkdown, samplingbook (≥ 1.2.4), testthat
Published:	2023-04-08
Author:	Koen Derks [aut, cre]
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:

Reference manual:	jfa.pdf
Vignettes:	Audit sampling: Get started Bayesian sampling workflow Creating prior distributions Data auditing: Get started Digit analysis Get started with the jfa package Evaluating statistical audit samples Planning statistical audit samples Selecting statistical audit samples Classical sampling workflow

Downloads:

Package source:	jfa_0.6.6.tar.gz
Windows binaries:	r-devel: jfa_0.6.6.zip, r-release: jfa_0.6.6.zip, r-oldrel: jfa_0.6.6.zip
macOS binaries:	r-release (arm64): jfa_0.6.6.tgz, r-oldrel (arm64): jfa_0.6.6.tgz, r-release (x86_64): jfa_0.6.6.tgz, r-oldrel (x86_64): jfa_0.6.6.tgz
Old sources:	jfa archive

Linking:

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