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The Audit module is developed to facilitate statistical auditing in both Bayesian and classical manifestations. The main feature is a workflow that helps guide auditors through the sampling process. Additionally, there are stand-alone analyses for planning, selecting, and evaluating a sample. The module is based on the R package jfa.

Home Page: https://koenderks.github.io/jfa/

R 75.84% QML 24.16%
accounting audit hacktoberfest jasp jfa statistics workflow

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jaspaudit's Issues

Bug fixes for release

Sample option needs to be the default, population option requires some bug fixes. Im on holiday now but am back on wednesday.

Bedford's law - Link first digits to data rows

The idea is that you want to see the observations which have a "2" for example as a first number. This could be done via a table (via a checkbox) or by exporting the first numbers to a column in the data and filtering afterwards.

Replace 'taint' with less technical phrase (e.g. 'relative error')?

Hi, I have been trying to figure out a German translation for the concept of 'taint', but so far, without success.
Disclaimer: I am not familiar with financial statistics, I'm just cobbling it together based on searching on the web and accessible books.

My impression is that taint is technical jargon for relative error. That's at least the closest hint for a German translation I could find so far, coming from Prof. Dr. Irene Rößler und Prof. Dr. Albrecht Ungerer, see page 2 in a PDF on their website, http://www.prof-roessler.de/Dateien/Statistik/monetary-unit-sampling.pdf.
They call it "relativer Fehler", i.e. "relative error":

jfa-taint

Maybe you could comment if this an adequate phrase to 1) use it in the German translation, or even 2) replace in the original English strings? (The technical term 'taint' could/should still be mentioned in the help text, of course. Replacing it may also help translation into more languages than just German.)

Reduce size of implied prior figure

The old figure https://github.com/jasp-stats/jaspAudit/blob/master/tests/figs/auditBayesianPlanning/auditbayesianplanning-implied-prior-distribution-3.svg is 7.65 MB (the new one here is still 5.2 MB) . That's a bit too much if you ask me. I'm not sure how you create the figure but I think you can make whatever approximations you use a lot less fine-grained and still get a nice figure.

Note that the file size on the repo is not very important, but if people use this and export the figure to vector graphics then they might also wonder why it's so big.

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