Dear Sirs, The below listed code fits a gamma and a pareto distribution to a data set danishuni. However the distributions are not appropriate to fit both tails of the data set hence a mixed distribution is required which has ben defined as "mixgampar" as shown below.
library(fitdistrplus) x<- danishuni$Loss fgam<- fitdist(x,"gamma",lower=0) fpar<- fitdist(x,"pareto",start = list(shape=2,scale=2),lower=0) fmixgampar<- fitdist(x,"mixgampar",start = list(prob=1/2,nu=1,lambda=1,alpha=1,theta=1),lower=0) Error in fitdist(x, "mixgampar", start = list(prob = 1/2, nu = 1, lambda = 1, : The dmixgampar function must be defined Kindly assist to define the dmixgampar Charkes [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.