Wiener: The Wiener Diffusion Model Distribution

In brms: Bayesian Regression Models using 'Stan'

The Wiener Diffusion Model Distribution

Description

Density function and random generation for the Wiener diffusion model distribution with boundary separation alpha, non-decision time tau, bias beta and drift rate delta.

Usage

dwiener(
  x,
  alpha,
  tau,
  beta,
  delta,
  resp = 1,
  log = FALSE,
  backend = getOption("wiener_backend", "Rwiener")
)

rwiener(
  n,
  alpha,
  tau,
  beta,
  delta,
  types = c("q", "resp"),
  backend = getOption("wiener_backend", "Rwiener")
)

Arguments

x	Vector of quantiles.
alpha	Boundary separation parameter.
tau	Non-decision time parameter.
beta	Bias parameter.
delta	Drift rate parameter.
resp	Response: "upper" or "lower". If no character vector, it is coerced to logical where TRUE indicates "upper" and FALSE indicates "lower".
log	Logical; If TRUE, values are returned on the log scale.
backend	Name of the package to use as backend for the computations. Either "Rwiener" (the default) or "rtdists". Can be set globally for the current R session via the "wiener_backend" option (see options).
n	Number of draws to sample from the distribution.
types	Which types of responses to return? By default, return both the response times "q" and the dichotomous responses "resp". If either "q" or "resp", return only one of the two types.

Details

These are wrappers around functions of the RWiener or rtdists package (depending on the chosen backend). See vignette("brms_families") for details on the parameterization.

See Also

wienerdist, Diffusion

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