brms: Wiener – R documentation

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Wiener

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 samples to draw 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.

Wiener

Description

Usage

Arguments

Details

See Also

brms

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