Hello everybody, I'm recoding some R code into SAS and I'm struggling with the R function qpoisbinom (ref here). This function simply takes in input a vector of quantiles and a distribution of values. This is how it is called: p_values = qpoisbinom(p = c(0.025, 0.975), pp = Estimated_Values) The outputs are 2 values (that should be the p_values). My Estimated_Values is a column with all my estimated values of a probability (i.e. belonging to [0,1]) Actually i cant find in SAS a way to replicate this code. I tried CDF function, squantile and quantile functions, PROBT and so on. I think a good way to proceed could be to fit my values with a Poisson model and then, accordingly with quantiles 0.025 and 0.975, calculate the p-value. I don't have the SAS IML licence so only SAS Base/STAT programming is admitted. I have attached the estimated values. Thanks a lot for your help, Gabriele
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