Fast Kernel Sums

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


Reference manual

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0.1.4 by David P. Hofmeyr, a year ago

Browse source code at

Authors: David P. Hofmeyr

Documentation:   PDF Manual  

GPL license


Depends on Rcpp

Linking to Rcpp, RcppArmadillo

See at CRAN