Software Open Access
Alexander (Sasha) Pastukhov; Fernando Mayer
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.6375306</identifier> <creators> <creator> <creatorName>Alexander (Sasha) Pastukhov</creatorName> <affiliation>Otto-Friedrich-Universität Bamberg</affiliation> </creator> <creator> <creatorName>Fernando Mayer</creatorName> <affiliation>@leg-ufpr</affiliation> </creator> </creators> <titles> <title>alexander-pastukhov/bistablehistory: v1.1.1</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2022</publicationYear> <dates> <date dateType="Issued">2022-03-22</date> </dates> <resourceType resourceTypeGeneral="Software"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/6375306</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/alexander-pastukhov/bistablehistory/tree/v1.1.1</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5543211</relatedIdentifier> </relatedIdentifiers> <version>v1.1.1</version> <rightsList> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>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 &amp; Braun (2011). 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.</p> <p>New function: predict_history() to extract posterior samples for cumulative history.</p></description> </descriptions> </resource>
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