evaluate_history_option

Evaluation is based on the <code>param_value</code>.<ol>
<li>A single positive number (&gt;0) that is used for all participants and runs.</li>
<li><code>NULL</code> (default) - a single value will be fitted for all participants
and runs, also applied if <code>randomN == 1</code>.</li>
<li><code>"random"</code> - an independent value is fitted for each random cluster.</li>
<li><code>"1|random"</code>- a value for a random cluster is sampled from a population
distribution, i.e., pooled parameter values via a multilevel model.</li>
</ol>

internal

Estimates cumulative history for time-series for continuously
viewed bistable perceptual rivalry displays. Computes cumulative history
via a homogeneous first order differential process. I.e., it assumes
exponential growth/decay of the history as a function time and perceptually
dominant state, Pastukhov & Braun (2011) <doi:10.1167/11.10.12>.
Supports Gamma, log normal, and normal distribution families.
Provides a method to compute history directly and example of using the
computation on a custom Stan code.

Alexander (Sasha) Pastukhov

bistablehistory

Cumulative History Analysis for Bistable Perception Time Series

Alexander Pastukhov

evaluate_history_option function

<dl><dt>param_name</dt>
<dd>Name of the parameter.</dd>
<dt>param_value</dt>
<dd>Value from the <code>fit_cumhist</code> function call.</dd>
<dt>randomN</dt>
<dd>Number of levels for the random variable.</dd>
<dt>upperLimit</dt>
<dd>Upper limit for a valid <code>param_value</code>.</dd></dl>

Arguments

Evaluates whether and how to fit a cumulative history parameter. — evaluate_history_option

<dl>

<dt>param_name</dt>
<dd>Name of the parameter.</dd>


<dt>param_value</dt>
<dd>Value from the <code>fit_cumhist</code> function call.</dd>


<dt>randomN</dt>
<dd>Number of levels for the random variable.</dd>


<dt>upperLimit</dt>
<dd>Upper limit for a valid <code>param_value</code>.</dd>

</dl>

evaluate_history_option: Evaluates whether and how to fit a cumulative history parameter.

Description

Usage

Value

Arguments

Examples