Bayesian and Classical Audit Sampling

Implements the audit sampling workflow as discussed in Derks et al. (2019) . 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 the International Standards on Auditing. Next to classical audit sampling methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) and Derks et al. (2021) .


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Reference manual

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install.packages("jfa")

0.6.2 by Koen Derks, a day ago


https://koenderks.github.io/jfa/, https://github.com/koenderks/jfa


Report a bug at https://github.com/koenderks/jfa/issues


Browse source code at https://github.com/cran/jfa


Authors: Koen Derks [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports extraDistr, graphics, stats

Suggests kableExtra, knitr, MUS, rmarkdown, testthat


See at CRAN