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measr: Bayesian Psychometric Measurement Using 'Stan'
Estimate diagnostic classification models (also called cognitive diagnostic models) with 'Stan'. Diagnostic classification models are confirmatory latent class models, as described by Rupp et al. (2010, ISBN: 978-1-60623-527-0). Automatically generate 'Stan' code for the general loglinear cognitive diagnostic diagnostic model proposed by Henson et al. (2009) <doi:10.1007/s11336-008-9089-5> and other subtypes that introduce additional model constraints. Using the generated 'Stan' code, estimate the model evaluate the model's performance using model fit indices, information criteria, and reliability metrics.
Getting started
Browse package contents
Package details |
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| Author | W. Jake Thompson [aut, cre] (ORCID: <https://orcid.org/0000-0001-7339-0300>), Jeffrey Hoover [aut] (ORCID: <https://orcid.org/0000-0002-0276-0308>), Auburn Jimenez [ctb] (ORCID: <https://orcid.org/0000-0002-7072-2960>), Nathan Jones [ctb] (ORCID: <https://orcid.org/0000-0001-6177-7161>), Matthew Johnson [cph] (Authored code adapted for measrdcm method for `reliability()`), University of Kansas [cph], Institute of Education Sciences [fnd] |
| Maintainer | W. Jake Thompson <wjakethompson@gmail.com> |
| License | GPL (>= 3) |
| Version | 2.0.0 |
| URL | https://measr.r-dcm.org https://github.com/r-dcm/measr |
| Package repository | View on CRAN |
| Installation |
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