Expand description
Statistical models for StatOxide
This crate provides a comprehensive suite of statistical models:
- Linear Models: OLS, Ridge, Lasso, Elastic Net
- Generalized Linear Models: Logistic, Poisson, Gamma regression
- Mixed Effects Models: Linear and generalized linear mixed models
- Robust Statistics: Robust regression and estimation
- Nonparametric Methods: Kernel regression, local regression, smoothing splines
Re-exports§
pub use glm::Family;pub use glm::GLM;pub use glm::GLMModelBuilder;pub use glm::GLMResults;pub use glm::Link;pub use mixed::EstimationMethod;pub use mixed::LMMResults;pub use mixed::LinearMixedModelBuilder;pub use mixed::RandomCovariance;pub use mixed::RandomEffect;pub use nonparametric::BandwidthMethod;pub use nonparametric::Kernel;pub use nonparametric::KernelRegression;pub use nonparametric::KernelRegressionResults;pub use nonparametric::LocalRegression;pub use nonparametric::LocalRegressionResults;pub use nonparametric::SmoothingSpline;pub use nonparametric::SmoothingSplineResults;pub use regression::LinearModelBuilder;pub use regression::LinearRegressionResults;pub use regression::OLS;pub use regression::Ridge;pub use robust::LeastTrimmedSquares;pub use robust::LossFunction;pub use robust::MEstimator;pub use robust::MMEstimator;pub use robust::RobustRegressionResults;pub use robust::SEstimator;pub use robust::ScaleEstimator;pub use robust::TuningParameters;
Modules§
- glm
- Generalized Linear Models (GLM)
- mixed
- Mixed effects models for StatOxide
- nonparametric
- Nonparametric methods for StatOxide
- regression
- Regression models
- robust
- Robust statistical methods for StatOxide