frechetUC: The Frechet Distribution

In VGAM: Vector Generalized Linear and Additive Models

The Frechet Distribution

Description

Density, distribution function, quantile function and random generation for the three parameter Frechet distribution.

Usage

dfrechet(x, location = 0, scale = 1, shape, log = FALSE)
pfrechet(q, location = 0, scale = 1, shape,
         lower.tail = TRUE, log.p = FALSE)
qfrechet(p, location = 0, scale = 1, shape,
         lower.tail = TRUE, log.p = FALSE)
rfrechet(n, location = 0, scale = 1, shape)

Arguments

x, q	vector of quantiles.
p	vector of probabilities.
n	number of observations. Passed into runif.
location, scale, shape	the location parameter a, scale parameter b, and shape parameter s.
log	Logical. If log = TRUE then the logarithm of the density is returned.
lower.tail, log.p	Same meaning as in punif or qunif.

Details

See frechet, the VGAM family function for estimating the 2 parameters (without location parameter) by maximum likelihood estimation, for the formula of the probability density function and range restrictions on the parameters.

Value

dfrechet gives the density, pfrechet gives the distribution function, qfrechet gives the quantile function, and rfrechet generates random deviates.

Author(s)

T. W. Yee and Kai Huang

References

Castillo, E., Hadi, A. S., Balakrishnan, N. and Sarabia, J. S. (2005). Extreme Value and Related Models with Applications in Engineering and Science, Hoboken, NJ, USA: Wiley-Interscience.

See Also

frechet.

Examples

## Not run:  shape <- 5
x <- seq(-0.1, 3.5, length = 401)
plot(x, dfrechet(x, shape = shape), type = "l", ylab = "",
  main = "Frechet density divided into 10 equal areas",
  sub = "Orange = CDF", las = 1)
abline(h = 0, col = "blue", lty = 2)
qq <- qfrechet(seq(0.1, 0.9, by = 0.1), shape = shape)
lines(qq, dfrechet(qq, shape = shape), col = 2, lty = 2, type = "h")
lines(x, pfrechet(q = x, shape = shape), col = "orange")

## End(Not run)

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