hyperCI: Confidence interval for population size (N) in hypergeometric...

In FSA: Simple Fisheries Stock Assessment Methods

Confidence interval for population size (N) in hypergeometric distribution.

Description

Computes a confidence interval for population size (N) in hypergeometric distribution.

Usage

hyperCI(M, n, m, conf.level = 0.95)

Arguments

M	Number of successes in the population.
n	Number of observations in the sample.
m	Number of observed successes in the sample.
conf.level	Level of confidence to use for constructing confidence intervals (default is 0.95).

Details

This is an inefficient brute-force algorithm. The algorithm computes the conf.level range of possible values for m, as if it was unknown, for a large range of values of N. It then finds all possible values of N for which m was in the conf.level range. The smallest and largest values of N for which m was in the conf.level range are the CI endpoints.

Value

A 1x2 matrix that contains the lower and upper confidence interval bounds.

Note

This algorithm is experimental at this point.

Author(s)

Derek H. Ogle, [e-mail]

Examples

hyperCI(50,25,10)

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