Man pages for statmlhb/CVEK
Cross-Validated Kernel Ensemble
| compute_info | Computing Information Matrices |
| compute_stat | Computing Score Test Statistics. |
| cvek | Conducting Cross-validated Kernel Ensemble based on... |
| cvek_test | Conduct Hypothesis Testing based on CVEK estimation result. |
| define_model | Defining the Model |
| dora | Dataset as an example |
| ensemble | Estimating Ensemble Kernel Matrices |
| ensemble_avg | Estimating Ensemble Kernel Matrices Using AVG |
| ensemble_exp | Estimating Ensemble Kernel Matrices Using EXP |
| ensemble_kernel_matrix | Calculating Ensemble Kernel Matrix |
| ensemble_stack | Estimating Ensemble Kernel Matrices Using Stack |
| estimate_base | Estimating Projection Matrices |
| estimate_ridge | Estimating a Single Model |
| estimate_sigma2 | Estimating Noise |
| estimation | Conducting Gaussian Process Regression |
| euc_dist | Computing Euclidean Distance between Two Vectors (Matrices) |
| generate_data | Generating Original Data |
| generate_formula | From Vectors to Single Variables |
| 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... |
| kernel_rbf | Generating A Single Matrix-wise Function Using RBF |
| kern_par | Dataframe as an example for kernel parameters |
| mydata | Dataset as an example |
| parse_cvek_formula | Parses user-supplied formula to fixed-effect and kernel... |
| parse_kernel_terms | Computes kernel matrix for each kernel term in the formula |
| parse_kernel_variable | Creates kernel matrix for each variable in the formula |
| predict.cvek | Predicting New Response |
| square_dist | Computing Square Distance between Two Sets of Variables |
| standardize | Standardizing Matrix |
| test_asym | Conducting Score Tests for Interaction Using Asymptotic Test |
| test_boot | Conducting Score Tests for Interaction Using Bootstrap Test |
| testing | Conducting Score Tests for Interaction |
| 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 |
