get_parameters

Implementations of canonical associative learning models,
with tools to run experiment simulations, estimate model parameters,
and compare model representations. Experiments and results are
represented using S4 classes and methods.

Victor Navarro

calmr

Canonical Associative Learning Models and their Representations

get_parameters function

<dl><dt>design</dt>
<dd>A <code>data.frame</code> containing the experimental design.</dd>
<dt>model</dt>
<dd>A string specifying a model. One in <code>supported_models()</code>.</dd></dl>

Arguments

Get model parameters — get_parameters

<dl>

<dt>design</dt>
<dd>A <code>data.frame</code> containing the experimental design.</dd>


<dt>model</dt>
<dd>A string specifying a model. One in <code>supported_models()</code>.</dd>

</dl>

get_parameters: Get model parameters

Description

Usage

Value

Arguments

Examples