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

Description Usage Arguments Details Value Note Author(s) Examples

View source: R/CIDists.R

Description

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

Usage

1
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, derek@derekogle.com

Examples

1
hyperCI(50,25,10)

FSA documentation built on July 17, 2021, 5:07 p.m.

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