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variationalDCM: An R package for variational Bayesian inference in diagnostic classification models

2023-05-23

Abstract excerpt

<p>This paper introduces variationalDCM, an R package that performs recently-developedvariational Bayesian (VB) estimation methods for diagnostic classification models (DCMs).DCMs are a class of discrete latent variable models that reveal respondents’ current knowledge statuses and perform clustering based on these statuses mainly in educational measurements. This package enables computationally efficient Bayesian...

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Literature Corpus work
41fd6cf6-159e-5d7b-a2b3-9e7a980934c6
DOI
10.31234/osf.io/f2sqd
Open publication

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variationalDCM: An R package for variational Bayesian inference in diagnostic classification modelsDOI 10.31234/osf.io/f2sqd
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