evaluate_history_init

Checks number and range of values. If a scalar is passed, uses same value
for both states.

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_init function

<dl><dt>history_init</dt>
<dd>Either a single value or a pair of values within 0..1 range.</dd></dl>

Arguments

Evaluates validity of initial history values. — evaluate_history_init

<dl>

<dt>history_init</dt>
<dd>Either a single value or a pair of values within 0..1 range.</dd>

</dl>

evaluate_history_init: Evaluates validity of initial history values.

Description

Usage

Value

Arguments

Examples