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Function returning the density of an n sample from the GP distribution. gpd.ll.optim returns the negative log likelihood parametrized in terms of log(scale) and shape in order to perform unconstrained optimization

Usage

gpd.ll(par, dat, tol = 1e-05)

gpd.ll.optim(par, dat, tol = 1e-05)

Arguments

par

vector of scale and shape

dat

sample vector

tol

numerical tolerance for the exponential model

See also