skewlnorm: Skew-Lognormal Distribution

In extras: Helper Functions for Bayesian Analyses

Skew-Lognormal Distribution

Description

The skew-lognormal distribution of a value x whose natural logarithm follows a Skew-Normal distribution with location meanlog, scale sdlog and shape. It reduces to the Log-Normal distribution when shape = 0.

Usage

dskewlnorm(x, meanlog = 0, sdlog = 1, shape = 0, log = FALSE)

pskewlnorm(q, meanlog = 0, sdlog = 1, shape = 0)

qskewlnorm(p, meanlog = 0, sdlog = 1, shape = 0)

rskewlnorm(n = 1, meanlog = 0, sdlog = 1, shape = 0)

Arguments

x	A numeric vector of values.
meanlog	A numeric vector of the means on the log scale.
sdlog	A non-negative numeric vector of the standard deviations on the log scale.
shape	A numeric vector of values.
log	A flag specifying whether to return the log-transformed value.
q	A vector of quantiles.
p	A numeric vector of probabilities.
n	A non-negative whole number of the number of random samples to generate.

Value

dskewlnorm gives the density, pskewlnorm gives the distribution function, qskewlnorm gives the quantile function, and rskewlnorm generates random deviates. pskewlnorm and qskewlnorm use the lower tail probability.

Examples

dskewlnorm(x = 1:5, meanlog = 0, sdlog = 1, shape = 0.1)
dskewlnorm(x = 1:5, meanlog = 0, sdlog = 1, shape = -1)
qskewlnorm(p = c(0.1, 0.4), meanlog = 0, sdlog = 1, shape = 0.1)
qskewlnorm(p = c(0.1, 0.4), meanlog = 0, sdlog = 1, shape = -1)
pskewlnorm(q = 1:5, meanlog = 0, sdlog = 1, shape = 0.1)
pskewlnorm(q = 1:5, meanlog = 0, sdlog = 1, shape = -1)
rskewlnorm(n = 3, meanlog = 0, sdlog = 1, shape = 0.1)
rskewlnorm(n = 3, meanlog = 0, sdlog = 1, shape = -1)

extras documentation built on July 16, 2026, 1:07 a.m.