check_fixed_history_parameter

Expects either a single value within a valid range or
<code>randomN</code> values.

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

check_fixed_history_parameter function

<dl><dt>param_name</dt>
<dd>Name of the parameter.</dd>
<dt>param_value</dt>
<dd>A single value or <code>randomN</code> numeric values.</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 values for a fixed history parameter — check_fixed_history_parameter

<dl>

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


<dt>param_value</dt>
<dd>A single value or <code>randomN</code> numeric values.</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>

check_fixed_history_parameter: Evaluates values for a fixed history parameter

Description

Usage

Value

Arguments

Examples