Reference

Overview Package overview
jfa jfa-package	jfa — Statistical Methods for Auditing
Audit sampling Functions for planning, selecting, and evaluating audit samples compliant with international standards on auditing.
auditPrior()	Audit Sampling: Prior Distributions
planning()	Audit Sampling: Planning
selection()	Audit Sampling: Selection
evaluation()	Audit Sampling: Evaluation
Data auditing Functions for data auditing, such as testing the distribution of leading digits in a data set against Benford’s law, and assessing repeated values.
digit_test()	Data Auditing: Digit Distribution Test
repeated_test()	Data Auditing: Repeated Values Test
Algorithm auditing Functions for auditing the output of algorithms with respect to fairness.
fairness_selection()	Algorithm Auditing: Fairness Measures Selection
model_fairness()	Algorithm Auditing: Fairness Metrics and Parity
Data sets Example data sets included in the jfa package.
accounts	Accounts Receivable
allowances	Legitimacy Audit
benchmark	Benchmark Analysis of Sales Versus Cost of Sales
BuildIt	BuildIt Construction Financial Statements
carrier	Carrier Company Financial Statements
compas	COMPAS Recidivism Prediction
retailer	Retailer Group Audit
sanitizer	Factory Workers' use of Hand Sanitizer
sinoForest	Sino Forest Corporation's Financial Statements.
Miscellaneous Functions for working with output from the jfa package.
print(<jfaPrior>) print(<summary.jfaPrior>) summary(<jfaPrior>) predict(<jfaPrior>) print(<jfaPredict>) plot(<jfaPrior>) plot(<jfaPredict>) print(<jfaPosterior>) print(<summary.jfaPosterior>) summary(<jfaPosterior>) predict(<jfaPosterior>) plot(<jfaPosterior>) print(<jfaPlanning>) print(<summary.jfaPlanning>) summary(<jfaPlanning>) plot(<jfaPlanning>) print(<jfaSelection>) print(<summary.jfaSelection>) summary(<jfaSelection>) print(<jfaEvaluation>) print(<summary.jfaEvaluation>) summary(<jfaEvaluation>) plot(<jfaEvaluation>) print(<jfaDistr>) print(<summary.jfaDistr>) summary(<jfaDistr>) plot(<jfaDistr>) print(<jfaRv>) plot(<jfaRv>) print(<jfaFairness>) print(<summary.jfaFairness>) summary(<jfaFairness>) plot(<jfaFairness>) print(<jfaFairnessSelection>) plot(<jfaFairnessSelection>)	Methods for jfa objects