Awesome GitHub RepositoriesStatistical Diagnostics

Statsmodels is a comprehensive Python library designed for statistical modeling, econometric research, and data analysis. It provides a robust framework for estimating and diagnosing a wide range of statistical models, enabling users to perform rigorous hypothesis testing, regression analysis, and complex data exploration within structured environments. The library distinguishes itself through its support for advanced statistical methodologies, including state space representation for dynamic systems and generalized linear frameworks that accommodate non-normal response variables. It offers s

This package is an R library designed as a comprehensive toolkit for statistical model evaluation and validation. It provides a unified framework to assess the quality, predictive accuracy, and underlying assumptions of diverse statistical models, supporting both frequentist and Bayesian paradigms through a consistent interface. The library distinguishes itself by decoupling diagnostic and performance logic from specific statistical frameworks, allowing for uniform validation across heterogeneous model types. It employs a model-agnostic pipeline that uses generic method dispatch to standardiz