Cross-Validated Kernel Ensemble


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Documentation for package ‘CVEK’ version 0.1-2

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cvek Conducting Cross-validated Kernel Ensemble
define_library Defining Kernel Library
ensemble Estimating Ensemble Kernel Matrices
ensemble_avg Estimating Ensemble Kernel Matrices Using AVG
ensemble_exp Estimating Ensemble Kernel Matrices Using EXP
ensemble_stack Estimating Ensemble Kernel Matrices Using Stack
estimate_ridge Estimating a Single Model
estimation Conducting Gaussian Process Regression
generate_kernel Generating A Single Kernel
kernel_intercept Generating A Single Matrix-wise Function Using Intercept
kernel_linear Generating A Single Matrix-wise Function Using Linear
kernel_matern Generating A Single Matrix-wise Function Using Matern
kernel_nn Generating A Single Matrix-wise Function Using Neural Network
kernel_polynomial Generating A Single Matrix-wise Function Using Polynomial
kernel_rational Generating A Single Matrix-wise Function Using Rational Quadratic
kernel_rbf Generating A Single Matrix-wise Function Using RBF
parse_cvek_formula Parsing User-supplied Formula
predict.cvek Predicting New Response
test_asymp Conducting Score Tests for Interaction Using Asymptotic Test
test_boot Conducting Score Tests for Interaction Using Bootstrap Test
tuning Calculating Tuning Parameters
tuning_AIC Calculating Tuning Parameters Using AIC
tuning_AICc Calculating Tuning Parameters Using AICc
tuning_BIC Calculating Tuning Parameters Using BIC
tuning_GCV Calculating Tuning Parameters Using GCV
tuning_GCVc Calculating Tuning Parameters Using GCVc
tuning_gmpml Calculating Tuning Parameters Using GMPML
tuning_loocv Calculating Tuning Parameters Using looCV