select_kernel {shar} | R Documentation |
Kernel selection
select_kernel(kernel_arg, bw, rmax, divisor)
kernel_arg |
Parameter of the function reconstruct_pattern_multi_trait_marks, specifies the kernel to be used to calculate the energy, possible kernels can be: Gaussian, Epanechnikov, Rectangular, Cumulative. |
bw |
Bandwidth with which the kernels are scaled, so that this is the standard deviation of the smoothing kernel. |
rmax |
Maximum distance at which the summary statistics are evaluated. |
divisor |
Divisor in the smoothing kernel, d or r. |
Returns the function of the selected kernel, which is then used to calculate the kernel.
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