brms: AsymLaplace – R documentation

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AsymLaplace

The Asymmetric Laplace Distribution

Description

Density, distribution function, quantile function and random generation for the asymmetric Laplace distribution with location mu, scale sigma and asymmetry parameter quantile.

Usage

dasym_laplace(x, mu = 0, sigma = 1, quantile = 0.5, log = FALSE)

pasym_laplace(
  q,
  mu = 0,
  sigma = 1,
  quantile = 0.5,
  lower.tail = TRUE,
  log.p = FALSE
)

qasym_laplace(
  p,
  mu = 0,
  sigma = 1,
  quantile = 0.5,
  lower.tail = TRUE,
  log.p = FALSE
)

rasym_laplace(n, mu = 0, sigma = 1, quantile = 0.5)

Arguments

`x, q`	Vector of quantiles.
`mu`	Vector of locations.
`sigma`	Vector of scales.
`quantile`	Asymmetry parameter corresponding to quantiles in quantile regression (hence the name).
`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.
`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