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2009 Jun 23
1
implementing Maximum Likelihood with distrMod when only the PDF is known
...mu)/sd; f = dnorm(u)*pnorm(d*u); return(f/sd)} # d = shape parameter (any real), mu = location (any real), sd = scale (positive real) #to see what it looks like try x<-seq(-1,4,length=200);plot(fsn(x,d=3),type="l") #Now I tried to create the classes "SkewNorm" and "SkewNormParameter" copying the example for the binomial ##Class:parameters setClass("SkewNormParameter", representation=representation(mu="numeric",sd="numeric",d="numeric"), prototype=prototype(mu=0,sd=1,d=0,name=gettext("Parameter of the Skew Normal distributio...