ReversalPowerLaplace {powdist}

The Power Reversal Laplace Distribution

Description

Density, distribution function, quantile function and random generation for the power reversal Laplace distribution with parameters mu, sigma and lambda.

Usage

drplaplace(x, lambda = 1, mu = 0, sigma = 1, log = FALSE)

prplaplace(q, lambda = 1, mu = 0, sigma = 1, lower.tail = TRUE,
  log.p = FALSE)

qrplaplace(p, lambda = 1, mu = 0, sigma = 1, lower.tail = TRUE,
  log.p = FALSE)

rrplaplace(n, lambda = 1, mu = 0, sigma = 1)

Arguments

x, q

vector of quantiles.

lambda

shape parameter.

mu, sigma

location and scale parameters.

log, log.p

logical; if TRUE, probabilities p are given as log(p).

lower.tail

logical; if TRUE (default), probabilities are P[X \le x ], otherwise, P[X > x].

p

vector of probabilities.

n

number of observations.

Details

The reversal power Laplace distribution has density

f(x)=\lambda\left[\frac{1}{2}+\frac{\left(1-e^{\frac{\left|x-\mu\right|}{\sigma}}\right)}{2}\textrm{sign}\left(-\frac{x-\mu}{\sigma}\right)\right]^{\lambda-1}\left[\frac{e^{-\frac{\left|x-\mu\right|}{\sigma}}}{2\sigma}\right],

where -\infty<\mu<\infty is the location paramether, \sigma^2>0 the scale parameter and \lambda>0 the shape parameter.

Examples

drplaplace(1, 1, 3, 4)
prplaplace(1, 1, 3, 4)
qrplaplace(0.2, 1, 3, 4)
rrplaplace(5, 2, 3, 4)