[R] 95% Confidence Interval for a p-p plot

[pablo.castano]

Hi,

I want to create upper and lower 95% confidence intervals for a p-p plot of
an empirical distribution with a theoretical gamma distribution.

This is my code: 

x<-rgamma(100,shape=2, rate=1) # empirical data
fitdistr(x,"gamma") # fit a gamma distribution
dist<-pgamma(x,shape=1.9884256 ,rate=0.8765314 ) # fitted distribution,
using the loglikelihood estimated parameters plot(ppoints(n=100),
sort(dist)) # create p-p plot 
abline(0,1) # diagonal line to check fit

Is there an implementation of the delta method in R that I could use for
this in order to estimate the variance of the predicted probability ?


Regards



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