Statsmodels: statistical modeling and econometrics in Python
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Updated
Sep 23, 2024 - Python
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.
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.
Extensions and additions to vcd: Visualizing Categorical Data
🎓 Tidy regression tools for academics
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
Fitting dose-response models in R
Modelling DNA methylation profiles
A simple framework for ANOVA on various types of Julia statistical models
From linear regression towards neural networks...
Sorted L1 Penalized Estimation
gnm package for generalized nonlinear models in R
A GLM based approach to measure CFC
R package that provides a parallel estimation method for generalized linear models
GAM workshop for NHS-R Community Conference 2023
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