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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", "0.7.2") Attach the package and use:
library("jfa")
Maintained by
Koen Derks
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.jfa . https://github.com/koenderks/jfa/issues . https://koenderks.github.io/jfa/ . https://github.com/koenderks/jfa . jfa citation info . jfa results . jfa.pdf . Get started with the jfa package . jfa_0.7.3.tar.gz . jfa_0.7.3.zip . jfa_0.7.3.zip . jfa_0.7.3.zip . jfa_0.7.3.tgz . jfa_0.7.3.tgz . jfa_0.7.3.tgz . jfa_0.7.3.tgz . jfa_0.7.3.tgz . jfa_0.7.3.tgz . jfa archive . https://CRAN.R-project.org/package=jfa .
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 0.7.2, https://cran.r-project.org/web/packages/jfa. Accessed 29 Mar. 2025.
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), 0.7.1 (2024-03-07 14:20), 0.7.2 (2024-08-23 10:00)
Other packages that cited jfa R package
View jfa citation profile
Other R packages that jfa depends,
imports, suggests or enhances
Complete documentation for jfa
Functions, R codes and Examples using
the jfa R package
Some associated functions: BuildIt . allowances . auditPrior . benchmark . carrier . compas . digit_test . evaluation . jfa-methods . jfa . model_fairness . planning . repeated_test . report . retailer . sanitizer . selection . sinoForest .
Some associated R codes: BuildIt-data.R . allowances-data.R . auditPrior.R . benchmark-data.R . carrier-data.R . compas-data.R . digit_test.R . evaluation.R . jfa-internal.R . jfa-methods.R . jfa-package.R . methods.R . model_fairness.R . planning.R . repeated_test.R . report.R . retailer-data.R . sanitizer-data.R . selection.R . sinoForest-data.R . stanmodels.R . Full jfa package functions and examples
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