MUS.multinomial.bound: Calculate a multinomial bound for a Monetary Unit Sampling...
In MUS: Monetary Unit Sampling and Estimation Methods, Widely Used in Auditing

Description Usage Arguments Value Author(s) See Also Examples

Calculates a multinomial bound for a Monetary Unit Sampling evaluation.

Please treat as experimental.

1	MUS.multinomial.bound(x, as.pct, include.high.values)

`x`	A MUS.evaluation.result object used to calculate the multinomial bound.
`as.pct`	Boolean. Express results as percentage. Default is False.
`include.high.values`	Boolean. Whether the bound should include high values. Default is "TRUE".

Upper Error Limit calculed using the multinomial bound.

Andre Guimaraes <alsguimaraes@gmail.com>

MUS.evaluation for evaluation of the audited sample.

# Assume 500 invoices, each between 1 and 1000 monetary units
data <- data.frame(book.value=round(runif(n=500, min=1, max=1000)))
# Plan a sample and cache it
plan <- MUS.planning(data=data, tolerable.error=10000, expected.error=2000)
# Extract a sample and cache it (no high values exist in this example)
extract <- MUS.extraction(plan)
# Copy book value into a new column audit values, and inject some error
audited <- extract$sample$book.value*(1-rbinom(nrow(extract$sample), 1, 0.05))
audited <- cbind(extract$sample, audit.value=audited)
# Evaluate the sample, cache and print it
evaluation <- MUS.evaluation(extract, audited)
MUS.multinomial.bound(evaluation)