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Density, distribution function, quantile function, and random generation for generalized Pareto distribution.
dgpd(x, loc, scale, shape, log=FALSE) pgpd(q, loc, scale, shape) qgpd(p, loc, scale, shape) rgpd(n, loc, scale, shape)
vector of quantiles.
vector of probabilities.
number of observations.
location parameter.
scale parameter.
shape parameter.
logical; logarithm of output
dgpd gives the density, pgpd gives the distribution function, qgpd gives the quantile function, and rgpd generates random deviates.
Generalized Pareto Distribution with density
$$f(x)=1/scale * (1 + shape * (x - loc)/scale)^(-1/shape - 1)$$
# NOT RUN { dgpd(110,100,2,4) # 0.01112233 # }
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