/pyfixest-cupy64-absorbed-regressors
pyfixest demeaner_backend="cupy64" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend="cupy64" to existing
$ npx -y skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors --agent claude-codeHow it fires
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/pyfixest-cupy64-absorbed-regressors
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pyfixest demeaner_backend="cupy64" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend="cupy64" to existing
Claude Code and Codex skills for empirical applied-microeconomics research: reproducibility auditing, LLM-assisted classification methods, event studies, data infrastructure (WRDS, Stata, pyfixest), and publication-grade tables, figures, and documents.
Repo: kennethkhoocy/applied-micro-skills
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Open skill