brms: ExGaussian – R documentation

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ExGaussian

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 samples to draw from the distribution.

Details

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

brms

Bayesian Regression Models using 'Stan'

v2.15.0

GPL-2

Authors

Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb]

Initial release

2021-03-10