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 an audit sample, sample from the population, and evaluating that sample using various confidence bounds according to the International Standards on Auditing. Furthermore, the package implements Bayesian equivalents of these methods.

Version: 0.5.0
Suggests: testthat, knitr, rmarkdown, kableExtra
Published: 2021-01-04
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://github.com/koenderks/jfa, https://koenderks.github.io/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
Constructing a prior distribution
Estimating the misstatement
Testing the misstatement
Package source: jfa_0.5.0.tar.gz
Windows binaries: r-devel: jfa_0.5.0.zip, r-release: jfa_0.5.0.zip, r-oldrel: jfa_0.5.0.zip
macOS binaries: r-release: jfa_0.5.0.tgz, r-oldrel: jfa_0.5.0.tgz
Old sources: jfa archive


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