poiCI: Confidence interval for Poisson counts.

In FSA: Simple Fisheries Stock Assessment Methods

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).

Details

Computes a CI for the Poisson counts using the exact, gamma distribution (daly‘), Byar’s (byar), or normal approximation (asymptotic) methods.

The pois.daly function gives essentially identical answers to the pois.exact function except when x=0. When x=0, for the upper confidence limit pois.exact returns 3.689 and pois.daly returns 2.996.

Value

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

Author(s)

Derek H. Ogle, [e-mail], though this is largely based on pois.exact, pois.daly, pois.byar, and pois.approx from the old epitools package.

Examples

## 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)

FSA documentation built on Aug. 27, 2023, 1:06 a.m.