Density, distribution function, quantile 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)
qexgaussian(p, mu, sigma, beta, lower.tail = TRUE, log.p = FALSE, tol = 1e-08)
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.- p
Vector of probabilities.
- tol
Tolerance of the approximation used in the quantile function. Default 1e-8.
- n
Number of draws to sample from the distribution.
Details
See vignette("brms_families") for details
on the parameterization.