FSA (version 0.8.20)

poiCI: Confidence interval for Poisson counts.

Description

Computes a confidence interval for the Poisson counts.

Usage

poiCI(x, conf.level = 0.95, type = c("exact", "daly", "byar", "asymptotic"),
  verbose = FALSE)

Arguments

x

A single number or vector that represents the number of observed successes.

conf.level

A number that indicates the level of confidence to use for constructing confidence intervals (default is 0.95).

type

A string that identifies the type of method to use for the calculations. See details.

verbose

A logical that indicates whether x should be included in the returned matrix (=TRUE) or not (=FALSE; DEFAULT).

Value

A #x2 matrix that contains the lower and upper confidence interval bounds as columns and, if verbose=TRUE x.

Details

Computes a CI for the Poisson counts using the exact, gamma distribution (daly`), Byar's (byar), or normal approximation (asymptotic) methods. This is largely a wrapper to pois.exact, pois.daly, pois.byar, and pois.approx functions documented in pois.conf.intin epitools.

See Also

See pois.exact, pois.daly, pois.byar, and pois.approx (documented in pois.conf.int) in epitools for more description and references.

Examples

# NOT RUN {
## Demonstrates using all types at once
poiCI(12)

## Selecting types
poiCI(12,type="daly")
poiCI(12,type="byar")
poiCI(12,type="asymptotic")
poiCI(12,type="asymptotic",verbose=TRUE)
poiCI(12,type=c("exact","daly"))
poiCI(12,type=c("exact","daly"),verbose=TRUE)

## Demonstrates use with multiple inputs
poiCI(c(7,10),type="exact")
poiCI(c(7,10),type="exact",verbose=TRUE)

# }