ddm-class

setDDM

The <code>ddm</code> class represents a complete Decision Diffusion Model
(DDM) specification. It encapsulates a <code>model</code> objects from
the ggdmcModel package, and optionally a population distribution
created via the <code>BuildPrior</code> function from the ggdmcPrior
package.

Provides functions for computing the density, distribution, and random generation of the Decision Diffusion model (DDM), a widely used cognitive model for analysing choice and response time data. The package allows model specification, including the ability to fix, constrain, or vary parameters across experimental conditions. While it does not include a built-in optimiser, it supports likelihood evaluation and can be integrated with external tools for parameter estimation. Functions for simulating synthetic datasets are also provided. This package is intended for researchers modelling speeded decision-making in behavioural and cognitive experiments. For more information, see Voss, Rothermund, and Voss (2004) <doi:10.3758/BF03196893>, Voss and Voss (2007) <doi:10.3758/BF03192967>, and Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>.

Yi-Shin Lin

ddModel

The Decision Diffusion Model

ddm-class function

<dl><dt>model</dt>
<dd>A required <code>model</code> object defining the model
specification.</dd>
<dt>population_distribution</dt>
<dd>Optional A population-level prior
distribution, typically constructed with <code>BuildPrior</code>. This argument
enables simulations of subject-level parameters. Default is <code>NULL</code>.</dd></dl>

Arguments

<dl>
<dt><code>model</code></dt>
<dd>A <code>model</code> object from ggdmcModel package
that defines the DDM structure, including parameter names, mapping,
and data attributes.</dd></dl>
<dt><code>population_distribution</code></dt>
<dd>An optional prior distribution, typically
created via <code>BuildPrior</code> from the ggdmcPrior package. This
slot is primarily used for parameters or hierarchical modelling and can
be <code>NULL</code>.</dd>

Slots

An S4 Class Representing a Decision Diffusion Model — ddm-class

<dl>

<dt>model</dt>
<dd>A required <code>model</code> object defining the model
specification.</dd>


<dt>population_distribution</dt>
<dd>Optional A population-level prior
distribution, typically constructed with <code>BuildPrior</code>. This argument
enables simulations of subject-level parameters. Default is <code>NULL</code>.</dd>

</dl>

<dl>
<dt><code>model</code></dt>
<dd>A <code>model</code> object from ggdmcModel package
that defines the DDM structure, including parameter names, mapping,
and data attributes.</dd>


<dt><code>population_distribution</code></dt>
<dd>An optional prior distribution, typically
created via <code>BuildPrior</code> from the ggdmcPrior package. This
slot is primarily used for parameters or hierarchical modelling and can
be <code>NULL</code>.</dd>


</dl>

ddm-class: An S4 Class Representing a Decision Diffusion Model

Description

Usage

Value

Arguments

Slots

Details

See Also