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Item Response Theory in Python

Project description


Item Response Theory in Python

Currently contains simple code, using a 4-parameter model, and allowing for partial credit.

The parameter estimation is done using MMLE with parameter regulation, and the underlying optimization uses scipy.optimize

estimate_thetas receives an input array, where each line represents the scores of a single person in each question, and returns the estimated theta parameters per person and the model parameters per question.

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irt-0.0.2-py2.py3-none-any.whl (9.8 kB) Copy SHA256 hash SHA256 Wheel py2.py3
irt-0.0.2.tar.gz (5.3 kB) Copy SHA256 hash SHA256 Source None

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