{"library":"pyfixest","title":"PyFixest","description":"Fast high-dimensional fixed effect estimation library for Python, following the syntax of the R fixest package. Current version: 0.50.1. Released ~monthly. Supports OLS, GLM, IV, quantile regression, and robust/clustered inference with multiple demeaner backends (including Rust).","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install pyfixest","pip install 'pyfixest[dev]'"],"cli":null},"imports":["from pyfixest import feols","from pyfixest import fepois"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import pandas as pd\nfrom pyfixest import feols\n\n# Load sample data\ndf = pd.read_csv('https://github.com/py-econometrics/pyfixest/raw/master/data/airbnb.csv')\n\n# Estimate fixed effects model\nfit = feols('price ~ distance | property_type', data=df)\nprint(fit.summary())","lang":"python","description":"Estimate a fixed effects linear regression using a sample dataset. Replace 'distance' and 'property_type' with actual columns from the dataset.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}