| hyper.ci {NCStats} | R Documentation |
Computes a confidence interval for population size (N) in hypergeometric distribution.
hyper.ci(M,n,m,conf.level = 0.95)
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). |
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. This algorithm is extremely experimental at this point.
A 1x2 matrix containing the lower and upper confidence interval bounds.
Derek H. Ogle, dogle@northland.edu
hyper.ci(50,25,10)