bin_wts | Compute discrete bin weights |
cbin_alloc | Allocation of points to bins |
df_ica | Gradient of projection index for independent component... |
df_ppr | Gradient of the projection index for projection pursuit... |
dksum | Kernel derivative sums |
fancy_PPR_initialisation | Initialisation for PPR based on Ridge LM after GAM type... |
f_ica | Projection index for independent component analysis. |
fk_density | Fast univariate kernel density estimation |
fk_dfmdh | Gradient of projection index for finding minimum density... |
fk_fmdh | Projection index for finding minimum density hyperplanes |
fk_ICA | Independent component analysis with sample entropy estimated... |
fk_is_minim_md | Check if MDH constraints are active |
fk_loc_lin | Local linear regression estimator |
fk_md | C++ code for evaluating mimimum density hyperplane from... |
fk_md_b | Minimum density hyperplane orthogonal to a vector |
fk_md_dp | C++ code for evaluating partial gradient of mimimum density... |
fk_mdh | Minimum density hyperplanes |
fk_NW | Nadaraya-Watson regression estimator |
fk_ppr | Projection pursuit regression with local linear kernel... |
fk_regression | Fast univariate kernel regression |
fk_sum | Fast Exact Kernel Sum Evaluation |
FKSUM-package | Fast Exact Kernel Smoothing |
f_ppr | Projection index for projection pursuit regression |
h_Gauss_to_K | Bandwidth conversion from Gaussian |
h_K_to_Gauss | Bandwidth conversion to Gaussian |
kLLreg | Leave-one-out regression smoother |
kndksum | Kernel and kernel derivative sums |
ksum | Kernel sums |
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... |
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 |
sm_bin_wts | Compute smoothed bin weights |
var_K | Variance of a kernel |
whiten | Whitening (standardising) a data matrix |
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