kumar: Kumaraswamy distribution

In RTMBdist: Distributions Compatible with Automatic Differentiation by 'RTMB'

Kumaraswamy distribution

Description

Density, distribution function, quantile function, and random generation for the Kumaraswamy distribution.

Usage

dkumar(x, a, b, log = FALSE)

pkumar(q, a, b, lower.tail = TRUE, log.p = FALSE)

qkumar(p, a, b, lower.tail = TRUE, log.p = FALSE)

rkumar(n, a, b)

Arguments

x, q	vector of quantiles in (0,1)
a, b	positive shape parameters
log, log.p	logical; if TRUE, probabilities/ densities p are returned as \log(p).
lower.tail	logical; if TRUE (default), probabilities are P[X \le x], otherwise P[X > x].
p	vector of probabilities
n	number of random values to return.

Value

dkumar gives the density, pkumar gives the distribution function, qkumar gives the quantile function, and rkumar generates random deviates.

Examples

x <- rkumar(1, a = 1, b = 2)
d <- dkumar(x, a = 1, b = 2)
p <- pkumar(x, a = 1, b = 2)
q <- qkumar(p, a = 1, b = 2)

RTMBdist documentation built on April 1, 2026, 5:07 p.m.