brms: Shifted_Lognormal – R documentation

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Shifted_Lognormal

The Shifted Log Normal Distribution

Description

Density, distribution function, quantile function and random generation for the shifted log normal distribution with mean meanlog, standard deviation sdlog, and shift parameter shift.

Usage

dshifted_lnorm(x, meanlog = 0, sdlog = 1, shift = 0, log = FALSE)

pshifted_lnorm(
  q,
  meanlog = 0,
  sdlog = 1,
  shift = 0,
  lower.tail = TRUE,
  log.p = FALSE
)

qshifted_lnorm(
  p,
  meanlog = 0,
  sdlog = 1,
  shift = 0,
  lower.tail = TRUE,
  log.p = FALSE
)

rshifted_lnorm(n, meanlog = 0, sdlog = 1, shift = 0)

Arguments

`x, q`	Vector of quantiles.
`meanlog`	Vector of means.
`sdlog`	Vector of standard deviations.
`shift`	Vector of shifts.
`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