Uses of Class
edu.cmu.tetrad.search.utils.NonlinearityTests.TestResult

Packages that use NonlinearityTests.TestResult

Package	Description
edu.cmu.tetrad.search.utils	This package contains utility classes for causal graph search algorithms.

Uses of NonlinearityTests.TestResult in edu.cmu.tetrad.search.utils

Methods in edu.cmu.tetrad.search.utils that return NonlinearityTests.TestResult

Modifier and Type	Method	Description
static NonlinearityTests.TestResult	NonlinearityTests.additiveHingeTest(double[] y, double[][] X, double alpha)	Performs an additive-component test using hinge basis functions to assess nonlinearity in the data.
static NonlinearityTests.TestResult	NonlinearityTests.conditionalMomentTest(double[] y, double[][] X, double alpha)	Performs a conditional moment test to assess the specification of a linear model.
static NonlinearityTests.TestResult	NonlinearityTests.cvAdditiveVsRff(double[] y, double[][] X, int kfold, double alpha)	Tests additivity of the conditional mean E(Y|X) by a nested cross-validated comparison: an additive ridge model (per-variable hinge features plus per-variable one-dimensional RFF features) versus the same additive design augmented with joint RFF (RBF random Fourier) features.
static NonlinearityTests.TestResult	NonlinearityTests.cvLinearVsNonlinear(double[] y, double[][] X, int kfold, double alpha)	Performs cross-validation to compare linear ridge regression with nonlinear kernel ridge regression using Random Fourier Features (RFF).
static NonlinearityTests.TestResult	NonlinearityTests.resetTest(double[] y, double[][] X, double alpha)	Performs the RESET (Regression Equation Specification Error Test) to assess model specification.