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# file : getParetoLimit.r
# author: Mark van der Loo (mark.vanderloo@gmail.com)
#
# Determine outlier limit assuming pareto distribution.
#
# INPUT
# y : vector of observed values between pmin and pmax
# p : vector of observed quantiles (y_i estimates the p_i'th quantile)
# N : total number of observations
# rho : outlier parameter
#
# OUTPUT (list)
# lambda: estimate parameter
# R2 : R-squared value of fit.
#
# History
# 22.10.2009 version 1
# 22.12.2009 version 2 (mvdl) added left limit.
#
getParetoLimit <- function(y, p, N, rho)
{
param <- fitPareto(y,p)
ell <- c(Left=-Inf, Right=Inf)
if ( !is.na(rho[1]) )
ell[1] <- param$ym*(1-rho[2]/N)^{-1/param$alpha}
if ( !is.na(rho[2]) )
ell[2] <- param$ym*(N/rho[2])^{1/param$alpha}
return(list(ym=param$ym,
alpha=param$alpha,
nFit=length(y),
R2=param$R2,
limit=ell)
)
}
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