Show HN: PypoLCA – Latent Class Analysis and Regression in Python

Category: library

Tags: latent-class-analysis, statistical-modeling, python

Score: 6.3/10 (Innovation: 4, Technical: 7, Documentation: 8, Utility: 6)

PypoLCA brings polytomous variable latent class analysis and regression to Python with a performant C++17 backend, translating the established R poLCA package. It offers built-in datasets, formula-based model specification, and standard errors, making advanced categorical data analysis accessible to Python users. The project is technically sound but incremental in innovation, directly porting existing algorithms.

Target audience: data scientists, researchers, statisticians

Repository: https://github.com/marcandre259/pypolca · Python

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