Shifted_Lognormal: The Shifted Log Normal Distribution

In brms: Bayesian Regression Models using 'Stan'

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 draws to sample from the distribution.

Details

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

brms documentation built on Sept. 23, 2024, 5:08 p.m.