R/CIDists.R
hyperCI.Rd
Computes a confidence interval for population size (N) in hypergeometric distribution.
hyperCI(M, n, m, conf.level = 0.95)
Number of successes in the population.
Number of observations in the sample.
Number of observed successes in the sample.
Level of confidence to use for constructing confidence intervals (default is 0.95
).
A 1x2 matrix that contains the lower and upper confidence interval bounds.
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 experimental at this point.
hyperCI(50,25,10)
#> 95% LCI 95% UCI
#> [1,] 86 228