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 |