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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

Analytics

Re: How is Std Error for Beta Binomial Distribution Analysis calculated? - differences between R and JMP

Have you seen the JMP Help about this topic? Is it possible that the R function or model uses a different parameterization?

Re: How is Std Error for Beta Binomial Distribution Analysis calculated? - differences between R and JMP

I found this in your documentation:

Var(x) = np(1-p)[1+(n-1)δ]

Is this the Std Error shown in the table?

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