R: The Exponentially Modified Gaussian Distribution

ExGaussian {brms} | R Documentation

## 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.

[Package brms version 2.16.3 Index]