gpdEst | R Documentation |
Fits a Pareto distribution to the distribution of weights and calculates a quantile on the fitted model as classification threshold.
gpdEst(Wdata, thresh = -Inf, quantil = 0.95)
Wdata |
A numeric vector representing weights of record pairs. |
thresh |
Threshold for exceedances. |
quantil |
A real number between 0 and 1. The desired quantile. |
The weights that exceed thresh
are fitted to a
generalized Pareto distribution (GPD). The estimated parameters shape
and scale
are used to calculate a classification threshold by the
formula
thresh+scale/shape*((n/k*(1-quantil))^(-shape) -1)
where n is the total number of weights and k the number of exceedances.
A real number representing the resulting classification threshold. It is assured that the threshold lies in a reasonable range.
Murat Sariyar
getParetoThreshold
for user-level function
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