hyperCI {FSA} | R Documentation |
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 |
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, DerekOgle51@gmail.com
Examples
hyperCI(50,25,10)