jfa: Bayesian and Classical Audit Sampling

Implements the audit sampling workflow as discussed in Derks et al. (2019) <doi:10.31234/osf.io/9f6ub>. The package makes it easy for an auditor to plan a statistical sample, select the sample from the population, and evaluate the sample using various methods according to the International Standards on Auditing. Furthermore, the package implements Bayesian equivalents of these methods.

Version: 0.5.4
Imports: graphics, stats
Suggests: kableExtra, knitr, MUS, rmarkdown, testthat
Published: 2021-06-02
Author: Koen Derks ORCID iD [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: no
Language: en-US
Citation: jfa citation info
Materials: README NEWS
CRAN checks: jfa results


Reference manual: jfa.pdf
Vignettes: Get started
The audit sampling workflow
The Bayesian audit sampling workflow
Prior distributions
Testing misstatement
Estimating misstatement
Bayes factors using summary statistics
Package source: jfa_0.5.4.tar.gz
Windows binaries: r-devel: jfa_0.5.4.zip, r-release: jfa_0.5.4.zip, r-oldrel: jfa_0.5.4.zip
macOS binaries: r-release (arm64): jfa_0.5.4.tgz, r-release (x86_64): jfa_0.5.4.tgz, r-oldrel: jfa_0.5.4.tgz
Old sources: jfa archive


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