deepirtools

Deep learning-based estimation and inference for item response theory models. (by cjurban)

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  • [Q] PCA on an all-binary dataset?
    1 project | /r/statistics | 26 Oct 2022
    Agreed, item response theory (IRT) would be a principled approach to use. I recently released a Python package called DeepIRTools that could be helpful here. It uses a deep learning approach to fit IRT models and provides a method for determining the latent dimensionality (i.e., how many "components" to retain). To get the dimension-reduced data (called embeddings in deep learning, factor scores in IRT, and components in PCA), you would just call model.scores(data).

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6 months ago

cjurban/deepirtools is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.

The primary programming language of deepirtools is Python.


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