{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"}],"enrichment":{"capability":"PyHDFE absorbs high-dimensional fixed effects from regression data using optimized algorithms, designed for integration into statistical projects rather than as a standalone regression interface.","skillfed_tags":["econometrics","fixed-effects","regression-tools"],"use_cases":["Absorb fixed effects in large econometric datasets before fitting other models.","Compare fixed-effects absorption algorithms across different implementations and convergence criteria.","Integrate fixed-effect absorption into custom statistical pipelines or research code.","Handle high-dimensional categorical variables in regression preprocessing workflows."],"what_it_does":"PyHDFE is a Python library for absorbing high-dimensional fixed effects in regression problems. It implements algorithms designed to be incorporated into statistical workflows rather than provide a complete regression interface\u2014the goal is to offer performant fixed-effect absorption that researchers can embed in their own projects.\n\nThe package depends on numpy and scipy, installs as a pure Python wheel with low friction, and is tested on Python versions 3.6 through 3.9. It was created to facilitate fair comparison of fixed-effects algorithms previously implemented in various languages and to support statistical projects that need efficient fixed-effect handling as a component, not a standalone tool.","worth_installing":"Yes, if you need to absorb fixed effects as a component of a statistical project and are comfortable integrating it into your own code rather than using a turnkey regression interface. The low install friction, permissive license, and stable dependencies make it straightforward to add. The dormant maintenance is not a blocker for a mature algorithm library, but verify that the specific algorithms and convergence criteria meet your research needs."},"id":"pyhdfe","links":{"html":"https://skillfed.io/packages/pyhdfe","md":"https://skillfed.io/packages/pyhdfe.md","pypi":"https://pypi.org/project/pyhdfe/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-08-18","license_spdx":null,"license_treatment":"permissive","name":"pyhdfe","python_support":"supports_current","summary":"High dimensional fixed effect absorption with Python 3"},"popularity":{"monthly_downloads":498890,"position":6326,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.0"}