| FKSUM-package | Fast Exact Kernel Smoothing |
| FKSUM | Fast Exact Kernel Smoothing |
| fk_density | Fast univariate kernel density estimation |
| fk_ICA | Independent component analysis with sample entropy estimated via kernel density |
| fk_mdh | Minimum density hyperplanes |
| fk_ppr | Projection pursuit regression with local linear kernel smoother |
| fk_regression | Fast univariate kernel regression |
| fk_sum | Fast Exact Kernel Sum Evaluation |
| h_Gauss_to_K | Bandwidth conversion from Gaussian |
| h_K_to_Gauss | Bandwidth conversion to Gaussian |
| norm_const_K | Normalising constant for kernels in FKSUM |
| norm_K | The L2 norm of a kernel |
| plot.fk_density | Plot method for class fk_density |
| plot.fk_ICA | Plot method for class fk_ICA |
| plot.fk_mdh | Plot method for class fk_mdh |
| plot.fk_ppr | Plot method for class fk_ppr |
| plot.fk_regression | Plot method for class fk_regression |
| plot_kernel | Plot the shape of a kernel function implemented in FKSUM based on its vector of beta coefficients |
| predict.fk_ppr | Predict method for class fk_ppr |
| predict.fk_regression | Predict method for class fk_regression |
| print.fk_density | Print method for class fk_density |
| print.fk_ICA | Print method for class fk_ICA |
| print.fk_mdh | Print method for class fk_mdh |
| print.fk_ppr | Print method for class fk_ppr |
| print.fk_regression | Print method for class fk_regression |
| roughness_K | Kernel roughness |
| var_K | Variance of a kernel |