cdmTools

Provides useful tools for cognitive diagnosis modeling (CDM). The package includes functions for empirical Q-matrix estimation and validation, such as the Hull method (Nájera, Sorrel, de la Torre, & Abad, 2021) and the discrete factor loading method (Wang, Song, & Ding, 2018). It also contains dimensionality assessment procedures for CDM, including parallel analysis and automated fit comparison as explored in Nájera, Abad, and Sorrel (2021). Other relevant methods and features for CDM applications, such as the restricted DINA model (Nájera et al., 2023), the general nonparametric classification method (Chiu et al., 2018), and corrected estimation of the classification accuracy via multiple imputation (Kreitchmann et al., 2022) are also available. Lastly, the package provides some useful functions for CDM simulation studies, such as random Q-matrix generation and detection of complete/identified Q-matrices.

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