Computes the log posterior density for the difference and sum of logits in a 2x2 contingency table for independent binomial samples and uniform prior placed on the logits
vector of parameter values "difference of logits" and "sum of logits")
vector containing number of successes and failures for first sample, and then second sample
value of the log posterior
1 2 3 4
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.