Kumar {VGAM}R Documentation

The Kumaraswamy Distribution

Description

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

Usage

dkumar(x, shape1, shape2)
pkumar(q, shape1, shape2)
qkumar(p, shape1, shape2)
rkumar(n, shape1, shape2)

Arguments

x, q vector of quantiles.
p vector of probabilities.
n number of observations. Must be a positive integer of length 1.
shape1, shape2 positive shape parameters.

Details

See kumar, the VGAM family function for estimating the parameters, for the formula of the probability density function and other details.

Value

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

Author(s)

T. W. Yee

See Also

kumar.

Examples

## Not run: 
# shape1 = shape2 = 0.5;
shape1 = 2; shape2 = 2;
nn = 201
x = seq(0.01, 0.99, len=nn)
plot(x, dkumar(x, shape1, shape2), type="l", las=1, ylim=c(0,1.5),
     ylab=paste("fkumar(shape1=", shape1, ", shape2=", shape2, ")"),
     col="blue",
     main="Blue is density, red is cumulative distribution function",
     sub="Purple lines are the 10,20,...,90 percentiles")
lines(x, pkumar(x, shape1, shape2), col="red")
abline(h=0)
probs = seq(0.1, 0.9, by=0.1)
Q = qkumar(probs, shape1, shape2)
lines(Q, dkumar(Q, shape1, shape2), col="purple", lty=3, type="h")
lines(Q, pkumar(Q, shape1, shape2), col="purple", lty=3, type="h")
abline(h=probs, col="purple", lty=3)
max(abs(pkumar(Q, shape1, shape2) - probs)) # Should be 0
## End(Not run)

[Package VGAM version 0.7-7 Index]