sm_bin_wts

<p>Computes total weight from an initial weight vector falling into regular bins, based on corresponding location of sample points.
  Individual points are shared between pairs of adjacent bins to produce slightly smoother estimation. Not intended for general use.</p>

internal

Implements the method of Hofmeyr, D.P. (2019) <DOI:10.1109/TPAMI.2019.2930501> for fast evaluation of univariate kernel smoothers based on recursive computations.
Applications to the basic problems of density and regression function estimation are provided, as well as some projection pursuit methods
for which the objective is based on non-parametric functionals of the projected density, or conditional density of a response given projected
covariates.

sm_bin_wts: Compute smoothed bin weights

Description

Arguments