perksUC: The Perks Distribution

In VGAM: Vector Generalized Linear and Additive Models

The Perks Distribution

Description

Density, cumulative distribution function, quantile function and random generation for the Perks distribution.

Usage

dperks(x, scale = 1, shape, log = FALSE)
pperks(q, scale = 1, shape, lower.tail = TRUE, log.p = FALSE)
qperks(p, scale = 1, shape, lower.tail = TRUE, log.p = FALSE)
rperks(n, scale = 1, shape)

Arguments

x, q	vector of quantiles.
p	vector of probabilities.
n	number of observations. Same as in runif.
log	Logical. If log = TRUE then the logarithm of the density is returned.
lower.tail, log.p	Same meaning as in pnorm or qnorm.
shape, scale	positive shape and scale parameters.

Details

See perks for details.

Value

dperks gives the density, pperks gives the cumulative distribution function, qperks gives the quantile function, and rperks generates random deviates.

Author(s)

T. W. Yee and Kai Huang

See Also

perks.

Examples

probs <- seq(0.01, 0.99, by = 0.01)
Shape <- exp(-1.0); Scale <- exp(1);
max(abs(pperks(qperks(p = probs, Shape, Scale),
                  Shape, Scale) - probs))  # Should be 0

## Not run:  x <- seq(-0.1, 07, by = 0.01);
plot(x, dperks(x, Shape, Scale), type = "l", col = "blue", las = 1,
     main = "Blue is density, orange is cumulative distribution function",
     sub = "Purple lines are the 10,20,...,90 percentiles",
     ylab = "", ylim = 0:1)
abline(h = 0, col = "blue", lty = 2)
lines(x, pperks(x, Shape, Scale), col = "orange")
probs <- seq(0.1, 0.9, by = 0.1)
Q <- qperks(probs, Shape, Scale)
lines(Q, dperks(Q, Shape, Scale), col = "purple", lty = 3, type = "h")
pperks(Q, Shape, Scale) - probs  # Should be all zero
abline(h = probs, col = "purple", lty = 3) 
## End(Not run)

VGAM documentation built on Sept. 18, 2024, 9:09 a.m.