crossover

This function dispatches to either <code>full_crossover()</code> or
<code>migration_crossover()</code> depending on the <code>which</code> argument.

internal

Fit and explore Drift Diffusion Models (DDMs),
a common tool in psychology for describing decision processes in simple
tasks. It can handle both time-independent and time-dependent DDMs. You
either choose prebuilt models or create your own, and the package takes
care of model predictions and parameter estimation. Model predictions
are derived via the numerical solutions provided by Richter, Ulrich, and
Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).

Valentin Koob

dRiftDM

Estimating (Time-Dependent) Drift Diffusion Models

Thomas Richter

Markus Janczyk

crossover function

<dl><dt>which</dt>
<dd>character string, Either <code>"diff"</code> or <code>"migration"</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to the underlying crossover function.</dd></dl>

Arguments

Perform Crossover Between Chains — crossover

<dl>

<dt>which</dt>
<dd>character string, Either <code>"diff"</code> or <code>"migration"</code>.</dd>


<dt>...</dt>
<dd>Further arguments passed to the underlying crossover function.</dd>

</dl>

crossover: Perform Crossover Between Chains

Description

Usage

Value

Arguments