beniniUC: The Benini Distribution

In VGAM: Vector Generalized Linear and Additive Models

The Benini Distribution

Description

Density, distribution function, quantile function and random generation for the Benini distribution with parameter shape.

Usage

dbenini(x, y0, shape, log = FALSE)
pbenini(q, y0, shape, lower.tail = TRUE, log.p = FALSE)
qbenini(p, y0, shape, lower.tail = TRUE, log.p = FALSE)
rbenini(n, y0, shape)

Arguments

x, q	vector of quantiles.
p	vector of probabilities.
n	number of observations. Same as runif.
y0	the scale parameter y_0.
shape	the positive shape parameter b.
log	Logical. If log = TRUE then the logarithm of the density is returned.
lower.tail, log.p	Same meaning as in pnorm or qnorm.

Details

See benini1, the VGAM family function for estimating the parameter s by maximum likelihood estimation, for the formula of the probability density function and other details.

Value

dbenini gives the density, pbenini gives the distribution function, qbenini gives the quantile function, and rbenini generates random deviates.

Author(s)

T. W. Yee and Kai Huang

References

Kleiber, C. and Kotz, S. (2003). Statistical Size Distributions in Economics and Actuarial Sciences, Hoboken, NJ, USA: Wiley-Interscience.

See Also

benini1.

Examples

## Not run: 
y0 <- 1; shape <- exp(1)
xx <- seq(0.0, 4, len = 101)
plot(xx, dbenini(xx, y0 = y0, shape = shape), col = "blue",
     main = "Blue is density, orange is the CDF", type = "l",
     sub = "Purple lines are the 10,20,...,90 percentiles",
     ylim = 0:1, las = 1, ylab = "", xlab = "x")
abline(h = 0, col = "blue", lty = 2)
lines(xx, pbenini(xx, y0 = y0, shape = shape), col = "orange")
probs <- seq(0.1, 0.9, by = 0.1)
Q <- qbenini(probs, y0 = y0, shape = shape)
lines(Q, dbenini(Q, y0 = y0, shape = shape),
      col = "purple", lty = 3, type = "h")
pbenini(Q, y0 = y0, shape = shape) - probs  # Should be all zero

## End(Not run)

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