R: Fast Kernel Sums

# Fast Kernel Sums

## Documentation for package ‘FKSUM’ version 1.0.1

- DESCRIPTION file

## Help Pages

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