Laplace: The Laplace Distribution

In nlmm: Generalized Laplace Mixed-Effects Models

The Laplace Distribution

Description

Density, distribution function, quantile function and random generation for the (symmetric) Laplace distribution.

Usage

dl(x, mu = 0, sigma = 1, log = FALSE)
pl(x, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE)
ql(p, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE)
rl(n, mu = 0, sigma = 1)

Arguments

x	vector of quantiles.
p	vector of probabilities.
n	number of observations.
mu	location parameter.
sigma	positive scale parameter.
log,log.p	logical; if TRUE, probabilities are log–transformed.
lower.tail	logical; if TRUE (default), probabilities are P[X \le x] otherwise, P[X > x]. Similarly for quantiles.

Details

The Laplace distribution has density

f(x) = \frac{1}{\sqrt{2}\sigma}e^{-\frac{\sqrt(2)}{\sigma} |x - \mu|}

where \mu is the location parameter and \sigma is the scale parameter. Note that based on this parameterization, the distribution has variance \sigma^2.

Value

dl gives the density and rl generates random deviates.

Author(s)

Marco Geraci

References

Kotz, S., Kozubowski, T., and Podgorski, K. (2001). The Laplace distribution and generalizations. Boston, MA: Birkhauser.

See Also

MultivariateLaplace, GenLaplace

nlmm documentation built on Nov. 24, 2023, 5:11 p.m.