FKSUM: Fast Kernel Sums

Implements the method of Hofmeyr, D.P. (2021) <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. The package is accompanied by an instructive paper in the Journal of Statistical Software <doi:10.18637/jss.v101.i03>.

Version:	1.0.0
Depends:	Rcpp (≥ 0.12.16)
Imports:	rARPACK, MASS, Matrix
LinkingTo:	Rcpp, RcppArmadillo
Published:	2022-01-27
Author:	David P. Hofmeyr
Maintainer:	David P. Hofmeyr <dhofmeyr at sun.ac.za>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	yes
Citation:	FKSUM citation info
CRAN checks:	FKSUM results

Documentation:

Reference manual:

FKSUM.pdf

Downloads:

Package source:	FKSUM_1.0.0.tar.gz
Windows binaries:	r-devel: FKSUM_1.0.0.zip, r-release: FKSUM_1.0.0.zip, r-oldrel: FKSUM_1.0.0.zip
macOS binaries:	r-release (arm64): FKSUM_1.0.0.tgz, r-oldrel (arm64): FKSUM_1.0.0.tgz, r-release (x86_64): FKSUM_1.0.0.tgz, r-oldrel (x86_64): FKSUM_1.0.0.tgz
Old sources:	FKSUM archive

Linking:

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