ExGaussian: The Exponentially Modified Gaussian Distribution

In brms: Bayesian Regression Models using 'Stan'

The Exponentially Modified Gaussian Distribution

Description

Density, distribution function, and random generation for the exponentially modified Gaussian distribution with mean mu and standard deviation sigma of the gaussian component, as well as scale beta of the exponential component.

Usage

dexgaussian(x, mu, sigma, beta, log = FALSE)

pexgaussian(q, mu, sigma, beta, lower.tail = TRUE, log.p = FALSE)

rexgaussian(n, mu, sigma, beta)

Arguments

x, q	Vector of quantiles.
mu	Vector of means of the combined distribution.
sigma	Vector of standard deviations of the gaussian component.
beta	Vector of scales of the exponential component.
log	Logical; If TRUE, values are returned on the log scale.
lower.tail	Logical; If TRUE (default), return P(X <= x). Else, return P(X > x) .
log.p	Logical; If TRUE, values are returned on the log scale.
n	Number of draws to sample from the distribution.

Details

See vignette("brms_families") for details on the parameterization.

brms documentation built on Sept. 23, 2024, 5:08 p.m.