The Wiener Diffusion Model Distribution

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