df_ica

<p>Computes the gradient of the objective evaluating sample entropy of a data set projected onto a given vector.
  Only used within optimisation of projection. Not intended for alternative use.</p>

internal

Implements the method of Hofmeyr, D.P. (2019) <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.

David Hofmeyr

df_ica: Gradient of projection index for independent component analysis.

Description

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