Statsmodels: statistical modeling and econometrics in Python

A library of scalable Bayesian generalised linear models with fancy features

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

BAS R package for Bayesian Model Averaging and Variable Selection

Bayesian Generalized Linear Models with Time-Varying Coefficients

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

Fit generalized linear models in python.

Fitting dose-response models in R

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

From linear regression towards neural networks...

Extensions and additions to vcd: Visualizing Categorical Data

🎓 Tidy regression tools for academics

Modelling DNA methylation profiles

Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models

A simple framework for ANOVA on various types of Julia statistical models

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

Sorted L1 Penalized Estimation

A GLM based approach to measure CFC

gnm package for generalized nonlinear models in R

Workshop 6 - Generalized linear models (GLM)