FastKRR-package         Kernel Ridge Regression using the
                        'RcppArmadillo' Package
approx_kernel           Compute low-rank approximations(Nyström,
                        Pivoted Cholesky, RFF)
coef.krr                Coef method for fitted Kernel Ridge Regression
                        models
error                   Compute Model Error (Generic)
error.krr               Compute Model Error for Kernel Ridge Regression
                        Models
fastkrr                 Fit kernel ridge regression using exact or
                        approximate methods
krr_reg                 Kernel Ridge Regression
make_kernel             Kernel matrix K construction for given datasets
param                   Extract/print hyperparameters of fitted models
param.krr               Param method for fitted Kernel Ridge Regression
                        models
plot.krr                Plot method for fitted Kernel Ridge Regression
                        (KRR) models
predict.krr             Predict responses for new data using fitted KRR
                        model
print.approx_kernel     Print method for approximated kernel matrices
print.kernel_matrix     Print method for kernel matrices
print.krr               Print method for fitted Kernel Ridge Regression
                        models
summary.krr             Summary method for fitted Kernel Ridge
                        Regression models
tunable.krr_reg         Expose tunable parameters for '"krr_reg"'
