KDB: Create a KDB distribution (Kuramaswamy double-bounded)

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

Create a KDB distribution (Kuramaswamy double-bounded)

Description

Create a KDB distribution (Kuramaswamy double-bounded)

Usage

KDB(alpha = 1, beta = 1)

Arguments

alpha	The alpha parameter (first shape parameter). 'alpha' can be any value strictly greater than zero. Defaults to '1'.
beta	The beta parameter (second shape parameter). 'beta' can be any value strictly greater than zero. Defaults to '1'.

Value

A 'KDB' object.

See Also

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

Examples

set.seed(27)

X <- KDB(alpha=2,beta=5)
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.