generalized-linear-models

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

Modelling DNA methylation profiles

🎓 Tidy regression tools for academics

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

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

Sorted L1 Penalized Estimation

gnm package for generalized nonlinear models in R

A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing

Workshop 6 - Generalized linear models (GLM)