GEVmin: Create a GEVmin distribution (Generalized Extreme Value for...

In benRenard/disTRIMbution: Estimation of Trimmed (Either Truncated or Rectified) Distributions

Create a GEVmin distribution (Generalized Extreme Value for minima)

Description

Create a GEVmin distribution (Generalized Extreme Value for minima)

Usage

GEVmin(loc = 0, scale = 1, shape = 0)

Arguments

loc	The location parameter, often noted \mu. Can be any real number. Defaults to '0'.
scale	The scale parameter, often noted \sigma. Can be any positive number. Defaults to '1'.
shape	The shape parameter, often noted \xi. Can be any real number. Defaults to '0'. Note that the convention used here derives from the one used for the GEV distribution: \xi > 0 leads to a right-bounded distribution. \xi < 0 leads to a left-bounded distribution.

Value

A 'GEVmin' object.

See Also

Other continuous distributions: GEVmin2(), GEV(), GPDmin2(), GPDmin(), GPD(), KDB4(), KDB(), Triangular()

Examples

set.seed(27)

X <- GEVmin(loc=0,scale=1,shape=-0.2)
X

random(X, 10)

pdf(X, 0.7)
log_pdf(X, 0.7)

cdf(X, 0.7)
quantile(X, 0.7)

cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 0.7))

benRenard/disTRIMbution documentation built on July 1, 2023, 4:24 a.m.