Module nonparametric 

Nonparametric methods for StatOxide

This module implements nonparametric regression and smoothing methods that make minimal assumptions about the functional form of relationships.

Methods Implemented

1. Kernel Regression: Nadaraya-Watson estimator with various kernels
2. Local Regression (LOESS): Locally weighted polynomial regression
3. Smoothing Splines: Penalized regression splines
4. Kernel Density Estimation: Nonparametric density estimation
5. Nonparametric Tests: Kolmogorov-Smirnov, Mann-Whitney U

Structs

KernelRegression

Nadaraya-Watson kernel regression estimator

KernelRegressionResults

Kernel regression results

LocalRegression

Local polynomial regression (LOESS/LOWESS)

LocalRegressionResults

Local regression (LOESS) results

SmoothingSpline

Natural cubic smoothing splines

SmoothingSplineResults

Smoothing spline results

Enums

BandwidthMethod

Bandwidth selection methods

Kernel

Kernel functions for nonparametric estimation