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Maximum likelihood estimation of the parameters of the Double-Pareto Lognormal distribution.
doubleparetolognormal.mle( x, lower = c(1e-10, 1e-10, 1e-10), upper = c(Inf, Inf, Inf), start = NULL )
data vector
Upper and lower bounds for the estimation procedure on the parameters c(shape2,shape1,sdlog), defaults to c(1e-10,1e-10,1e-10) and c(Inf,Inf,Inf) respectively.
named vector with starting values, default to c(shape2=2,shape1=2,sdlog=sd(log(x)))
Returns a named list containing a
Named vector of coefficients
logical indicator of convergence
Length of the fitted data vector
Nr. of coefficients
# NOT RUN { x <- rdoubleparetolognormal(1e3) ## Pareto fit with xmin set to the minium of the sample doubleparetolognormal.mle(x = x) # }
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