{"library":"pyhdfe","type":"library","category":null,"description":"pyhdfe is a Python library for absorbing high-dimensional fixed effects, implementing the algorithm developed by Gaure (2013). It is primarily used in econometrics and statistics for estimating models with several high-dimensional fixed effects, optimized for sparse data structures. The current version is 0.2.0, with an intermittent release cadence.","language":"python","status":"active","version":"0.2.0","tags":["econometrics","fixed-effects","panel-data","statistics","high-dimensional","regression"],"install":[{"cmd":"pip install pyhdfe","imports":["from pyhdfe import Algorithm"]}],"homepage":null,"github":"https://github.com/jeffgortmaker/pyhdfe","docs":"http://pyhdfe.readthedocs.io/en/latest","changelog":null,"pypi":"https://pypi.org/project/pyhdfe/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":7.2,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pyhdfe/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Sun Aug 02","install_tag":null}}