{"library":"factor-analyzer","type":"library","category":null,"description":"A factor analysis (FA) implementation in Python, providing exploratory factor analysis using principal component or maximum likelihood extraction with varimax/oblimin rotations. Version 0.5.1 supports Kaiser-Meyer-Olkin (KMO) test, Bartlett's test of sphericity, and parallel analysis. Released irregularly; last update 2022.","language":"python","status":"maintenance","version":"0.5.1","tags":["factor-analysis","psychometrics","statistics"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install factor-analyzer","imports":["from factor_analyzer import FactorAnalyzer","from factor_analyzer.factor_analyzer import calculate_kmo","from factor_analyzer.factor_analyzer import calculate_bartlett_sphericity"]}],"homepage":"https://github.com/EducationalTestingService/factor_analyzer","github":"https://github.com/EducationalTestingService/factor_analyzer","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}