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hi! I would like to ask help how to generate numbers from g-and-h distribution. This distribution is like normal distribution but span more of the kurtosis and skewness plane. Has R any package on how to generate them? Any help will be greatly appreciated. Thank you so much! Form, Filame Uyaco --------------------------------- [[alternative HTML version deleted]]

hi! i send again my question because there was a problem earlier that someone did not see my attached file. If you really can't download it, this is the attached file. Please help me how to convert this S plus file to R. Is there a quick method to do it? I don't have an S plus installer here. --------------------------------------------------- # Computes a possible choice for

hi! attached is an example of S file i got from the net. Can anyone help me how to convert it in R? Is there a quick method on conversion? I don't have S installer here. Thanks for the help. Filame ---------------------------------

hi! i've tried to run this code in R using the VGAM package. I know it's not a good fit. But i encountered a problem in calling the estimated parameter values using fit$estimate. But the codes worked if i put the estimated values just like in this case: y.l <- dgpd(x, scale=0.979421685 , shape=-0.003183445 ) But not in this one: y.g <- dgpd(x, scale=fit$estimate[1],

hi to all! (Q1): I'd like to ask where can i find aggregateSeries and seriesData in R packages? (Q2): how can i perform these Splus commads in R? e.g. annualMax.sp500 = aggregateSeries(-spto87,by="years",FUN=max) hist(seriesData(annualMax.sp500)) (Q3): is the method of probability-weighted moments available in evir package? Thanks! Filame