[aut,
cre]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 [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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