Recommended Software for Wilcoxon-Mann-Whitney Test and Associated Confidence Interval

library(coin)
y <- c(1, 2, 2, 2, 2, 4, 2, 5, 8, 16)
g <- factor(c(1,1,1,1,1,1,2,2,2,2))
wilcox_test(y ~ g, conf.int=TRUE, distribution='exact') # omit distribution to get asymptotic
# Get location estimate another way
median(outer(y[g=='1'], y[g=='2'], '-'))

        Exact Wilcoxon Mann-Whitney Rank Sum Test

data:  y by groups 1, 2 
Z = -2.0469, p-value = 0.07619
alternative hypothesis: true mu is not equal to 0 
95 percent confidence interval:
 -14   0 
sample estimates:
difference in location 
                    -4 
[1] -4

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