mleM {chyper} | R Documentation |
Maximum likelihood estimator for sample size in conditional hypergeometric distributions
Description
Calculates the MLE of a sample size in a conditional hypergeometric distribution: the distribution of how many items are in the overlap of all samples when samples of arbitrary size are each taken without replacement from populations of arbitrary size.
Usage
mleM(population, k, s, n, m, verbose = T)
Arguments
population |
the index of the unknown sample size |
k |
the observed overlaps |
s |
an integer representing the size of the intersecting population |
n |
a vector of integers representing the sizes of each non-intersecting population |
m |
a vector of integers representing the sample sizes where the value of the unknown sample size should be any integer as a placeholder |
verbose |
T/F should intermediate messages be printed? |
Value
The maximum likelihood estimator of the unknown sample size
Examples
mleM(1, c(0,0,1,1,0,2,0), 8, c(12,13,14), c(0,8,9))
[Package chyper version 0.3.1 Index]