How is Std Error for Beta Binomial Distribution Analysis calculated? - differences between R and JMP
Hi All! We are calculating beta binomial distribution parameters in R and wanted to compare the results and the std error.Typically, the values for location and dispersion are up to 1% higher in JMP and there is also some discrepancy in the std error. We would like to match here our R-code. May anybody provide a hint how the standard error for mu and rho are calculated? Fisher Matrix? Thanks