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jfa  

Statistical Methods for Auditing
View on CRAN: Click here


Download and install jfa package within the R console
Install from CRAN:
install.packages("jfa")

Install from Github:
library("remotes")
install_github("cran/jfa")

Install by package version:
library("remotes")
install_version("jfa", "0.7.1")



Attach the package and use:
library("jfa")
Maintained by
Koen Derks
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-08
Latest Update: 2023-10-04
Description:
Provides statistical methods for auditing as implemented in JASP for Audit (Derks et al., 2021 ). First, 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 international auditing standards. Second, the package provides statistical methods for auditing data, including tests of digit distributions and repeated values. Finally, the package includes methods for auditing algorithms on the aspect of fairness and bias. Next to classical statistical methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) , Derks et al. (2021) , and Derks et al. (2022) .
How to cite:
Koen Derks (2020). jfa: Statistical Methods for Auditing. R package version 0.7.1, https://cran.r-project.org/web/packages/jfa
Previous versions and publish date:
0.1.0 (2020-01-08 18:10), 0.2.0 (2020-08-05 14:10), 0.3.0 (2020-09-15 15:20), 0.3.1 (2020-10-12 16:50), 0.4.0 (2020-10-30 15:10), 0.5.0 (2021-01-04 16:20), 0.5.1 (2021-03-02 14:20), 0.5.2 (2021-04-02 14:20), 0.5.3 (2021-05-02 02:42), 0.5.4 (2021-06-03 00:40), 0.5.5 (2021-07-01 14:00), 0.5.6 (2021-07-06 18:00), 0.5.7 (2021-08-12 17:00), 0.6.0 (2021-09-22 11:40), 0.6.1 (2021-11-18 16:30), 0.6.2 (2022-01-23 16:12), 0.6.3 (2022-02-21 10:00), 0.6.4 (2022-06-16 18:10), 0.6.5 (2023-03-21 10:00), 0.6.6 (2023-04-08 15:50), 0.6.7 (2023-07-16 16:40), 0.7.0 (2023-10-04 16:50)
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