The log likelihood of a Wilcoxon rank sum density with data, x, m and n parameters.

likwilcox(m, n, x, log = FALSE)

## Arguments

m numbers of observations in the first and second sample, respectively. Can be vectors of positive integers. numbers of observations in the first and second sample, respectively. Can be vectors of positive integers. vector of quantiles. logical; if TRUE, probabilities p are given as log(p).

## Value

A numeric scalar for the log likelihood of the Wilcoxon rank sum density given the data where m and n can be held constant or if vector were given vector will be returned.

## Details

The log likelihood is the log of a function of parameters given the data.

## Examples

likwilcox(x = rwilcox(nn = 2, m = 3, n = 4),
m = 3, n = 4)#> [1] 0.01632653