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IRTが実装できるパッケージ

ベイズ推定

Stan, NumPyroなどの確率プログラミング言語や、それらのラッパーであるPyMC, BayesianInferenceなどを使う

参考

Nishio, M., Ota, E., Matsuo, H., Matsunaga, T., Miyazaki, A., & Murakami, T. (2023). Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance. PeerJ Computer Science, 9, e1620.

1PLM, 2PLMを実装し、多くの場合でPyStanよりNumPyroのほうが速かったとのこと

References
  1. Nishio, M., Ota, E., Matsuo, H., Matsunaga, T., Miyazaki, A., & Murakami, T. (2023). Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance. PeerJ Computer Science, 9, e1620. 10.7717/peerj-cs.1620