Physics and Astronomy
3 years ago

Python module revolutionizes analysis of Random Coefficient models for data efficiency.

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arXiv (Cornell University)
Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python
Emil Mendoza, Fabian Dunker, Marco Reale

Paper Summary

A Python module called PyRMLE\textbf{PyRMLE}PyRMLE has been developed to analyze Random Coefficient models. It uses Python's scientific libraries for efficient computation and is user-friendly with typical data formats. The module's main algorithm is written in Python code, taking advantage of its high-level features.

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