Pyfixest cupy64 Absorbed Regressor Audit

Pyfixest cupy64 Absorbed Regressor Audit is a Quality skill for Claude Code, published by kennethkhoocy in applied-micro-skills.

48 stars0 forkson kennethkhoocy/applied-micro-skillsAdded 2026/08/11Repository updated 2026/07/22

View source on GitHub Download repo ZIP

applied-microeconomicsclaude-codeclaude-skillscodexcodex-skillsempirical-research

Install in seconds

Install Pyfixest cupy64 Absorbed Regressor Audit

Copy Pyfixest cupy64 Absorbed Regressor Audit into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors ~/.claude/skills/pyfixest-cupy64-absorbed-regressors

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/kennethkhoocy/applied-micro-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors/SKILL.md in kennethkhoocy/applied-micro-skills
Installs to: ~/.claude/skills/pyfixest-cupy64-absorbed-regressors
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1354 skills

What Pyfixest cupy64 Absorbed Regressor Audit does

When adding 'cupy64' backend to pyfixest, fully absorbed regressors are not dropped, producing garbage coefficient rows. This skill guides verification: diff outputs, ignore absurd estimates, and ensure headline coefficients remain correct.

Pyfixest cupy64 Absorbed Regressor Audit is cataloged under Quality on DirSkills. Pyfixest cupy64 Absorbed Regressor Audit comes from a repository tagged applied-microeconomics, claude-code, claude-skills, codex and codex-skills.

Documentation

README

Excerpt

pyfixest cupy64 backend: absorbed regressors survive, reports change shape

Problem

Adding demeaner_backend="cupy64" to an existing pf.feols() call is treated as a pure performance switch, but it changes the output: regressors with zero within-FE identifying variation (fully absorbed by the fixed effects) that the default numba backend silently drops are RETAINED by the cupy64 path (also in its scipy/CPU fallback when cupy is not installed). They appear in the coefficient table as non-identified garbage (huge coefficient, huge SE).

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Pyfixest cupy64 Absorbed Regressor Audit

What else does kennethkhoocy publish alongside Pyfixest cupy64 Absorbed Regressor Audit?
Pyfixest cupy64 Absorbed Regressor Audit is one of 25 skills that DirSkills catalogs from kennethkhoocy/applied-micro-skills, the repository it ships in. Its siblings there include Adversarial Empirical Review, Annotator Input Parity Check and AsyncOpenAI Concurrency Fix. Each one is a separate skill with its own page in this directory, installs the same way Pyfixest cupy64 Absorbed Regressor Audit does, and is maintained by kennethkhoocy in that same repository. The rest of the collection is listed on the kennethkhoocy/applied-micro-skills page.
How does Pyfixest cupy64 Absorbed Regressor Audit compare to other Quality skills?
Pyfixest cupy64 Absorbed Regressor Audit ranks #1299 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Pyfixest cupy64 Absorbed Regressor Audit against them. Open each page to compare what they document and how they install.