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intervalpsych: Analyzing Interval Data in Psychometrics
Implements the Interval Consensus Model (ICM) for analyzing continuous bounded interval-valued responses in psychometrics using 'Stan' for 'Bayesian' estimation. Provides functions for transforming interval data to simplex representations, fitting item response theory (IRT) models with isometric log-ratio (ILR) and sum log-ratio (SLR) link functions, and visualizing results. The package enables aggregation and analysis of interval-valued response data commonly found in psychological measurement and related disciplines. Based on Kloft et al. (2024) <doi:10.31234/osf.io/dzvw2>.
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Package details |
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| Author | Matthias Kloft [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-1845-6957>), Björn S. Siepe [aut] (ORCID: <https://orcid.org/0000-0002-9558-4648>) |
| Maintainer | Matthias Kloft <kloft.dev+intervalpsych@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | https://matthiaskloft.github.io/intervalpsych/ https://github.com/matthiaskloft/intervalpsych |
| Package repository | View on CRAN |
| Installation |
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