Confidence interval for population size (N) in hypergeometric distribution.
Computes a confidence interval for population size (N) in hypergeometric distribution.
hyperCI(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 |
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.
A 1x2 matrix that contains the lower and upper confidence interval bounds.
This algorithm is experimental at this point.
Derek H. Ogle, derek@derekogle.com
hyperCI(50,25,10)
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