This paper introduces the R package CDM for cognitive diagnosis models (CDMs). The package implements parameter estimation procedures for two general CDM frameworks, the generalized-deterministic input noisy-and-gate (G-DINA) and the general diagnostic model (GDM). It contains additional functions for analyzing data under these frameworks, like tools for simulating and plotting data, or for evaluating global model and item fit. The paper describes the theoretical aspects of implemented CDM frameworks and it illustrates the usage of the package with empirical data of the common fraction subtraction test by Tatsuoka (1984).
Cognitive diagnosis models (CDMs) are a class of discrete latent variable models which may be used to estimate the possession of attributes underlying a global ability or attitude. The present article explains the basics of CDMs to researchers not acquainted with this family of models. Two worked out examples show how to apply a CDM using the R package CDM.
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