A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data-Reference-Cited by-同舟云学术

A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data

Published:2023-06-15 Issue: Volume: Page:1-20
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Castro-Alvarez Sebastian¹^ORCID,Bringmann Laura F.¹²^ORCID,Meijer Rob R.¹^ORCID,Tendeiro Jorge N.³^ORCID

Affiliation:

1. Department of Psychometrics and Statistics, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands

2. Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

3. Office of Research and Academia-Government-Community Collaboration, Education and Research Center for Artificial Intelligence and Data Innovation, Hiroshima University, Japan

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,General Medicine,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2023.2214787

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4. Changing dynamics: Time-varying autoregressive models using generalized additive modeling.

5. A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data

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