check_normal_prior

Should a pair of numeric values, second value should be non-zero.
Stops execution with an error.

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_normal_prior function

<dl><dt>values</dt>
<dd>Parameters for normal distribution.</dd>
<dt>parameter</dt>
<dd>Name of the parameter for which the prior is defined.</dd></dl>

Arguments

Checks for validity of values for use as normal distribution parameters. — check_normal_prior

<dl>

<dt>values</dt>
<dd>Parameters for normal distribution.</dd>


<dt>parameter</dt>
<dd>Name of the parameter for which the prior is defined.</dd>

</dl>

check_normal_prior: Checks for validity of values for use as normal distribution parameters.

Description

Usage

Value

Arguments

Examples