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View Code? Open in Web Editor NEWBayesian IRT submodule for GIRTH
Home Page: https://eribean.github.io/girth/
License: MIT License
Bayesian IRT submodule for GIRTH
Home Page: https://eribean.github.io/girth/
License: MIT License
Add the other two often used polytomous models.
The graded unfolding model is an ideal point IRT model and an extension of the PCM #9. The framework for this model reuses a lot from the partial credit model and should be straightforward to implement. Not so straightforward is obtaining good initial estimates for item locations. The polarity ambiguity of item locations can cause posterior methods to diverge since to stable points will exist....
Add a function to support the GPCM model in both Bayesian and Variational Inference.
Future PYMC3 is going to incorporate JAX and will bring with it better GPU support, keep an eye on this.
Return the 95% confidence interval from the trace.
Add support for estimating multidimensional models.
Need to support datasets that have missing values.
Polytomous estimation can take some time, look into variational estimation to speed some things up.
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