GLM
A Julia package for fitting linear and generalized linear models with comprehensive statistical functionality.
What is GLM?
GLM.jl is a Julia package for fitting linear and generalized linear models, providing tools for regression analysis, statistical inference, and model diagnostics. It solves the problem of performing robust statistical modeling within Julia's high-performance computing environment, offering an alternative to R's glm or Python's statsmodels.
Data scientists, statisticians, and researchers using Julia for statistical analysis, econometrics, or scientific computing who need reliable GLM implementations.
Developers choose GLM.jl for its native Julia performance, seamless integration with the Julia data ecosystem, and comprehensive statistical functionality that matches or exceeds traditional statistical software.
Overview
Generalized linear models in Julia
Use Cases
Best For
- Performing regression analysis with various error distributions and link functions
- Statistical modeling in Julia-based data science workflows
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