KDB4: Create a KDB4 distribution (4-parameter Kuramaswamy...

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

Create a KDB4 distribution (4-parameter Kuramaswamy double-bounded)

Description

Create a KDB4 distribution (4-parameter Kuramaswamy double-bounded)

Usage

KDB4(alpha = 1, beta = 1, a = 0, b = 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'.
a	The a parameter (lower bound). 'a' can be any value in the set of real numbers. Defaults to '0'.
b	The b parameter (upper bound). 'b' can be any value in the set of real numbers. It should be strictly bigger than 'a'. Defaults to '1'.

Value

A 'KDB4' object.

See Also

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

Examples

set.seed(27)

X <- KDB4(alpha=2,beta=5,a=0.5,b=3)
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.