cumhist-class

cumhist

Cumulative history model fitted to time-series data.

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

cumhist-class function

<dl>
<dt><code>family</code></dt>
<dd>A <code>string</code> with distribution family.</dd></dl>
<dt><code>data</code></dt>
<dd>A <code>list</code> with preprocessed data.</dd>
<dt><code>stanfit</code></dt>
<dd>a <code>stanfit</code> object.</dd>

Slots

Class cumhist. — cumhist-class

<dl>
<dt><code>family</code></dt>
<dd>A <code>string</code> with distribution family.</dd>


<dt><code>data</code></dt>
<dd>A <code>list</code> with preprocessed data.</dd>


<dt><code>stanfit</code></dt>
<dd>a <code>stanfit</code> object.</dd>


</dl>

cumhist-class: Class `cumhist`.

Description

Arguments

Slots

Details

See Also