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 |
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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