Package: FKSUM 1.0.1

David P. Hofmeyr

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>.

Authors:David P. Hofmeyr

FKSUM_1.0.1.tar.gz
FKSUM_1.0.1.zip(r-4.7-x86_64)FKSUM_1.0.1.zip(r-4.7-arm64)FKSUM_1.0.1.zip(r-4.6-x86_64)FKSUM_1.0.1.zip(r-4.6-arm64)FKSUM_1.0.1.zip(r-4.5-x86_64)
FKSUM_1.0.1.tgz(r-4.6-x86_64)FKSUM_1.0.1.tgz(r-4.6-arm64)FKSUM_1.0.1.tgz(r-4.5-x86_64)FKSUM_1.0.1.tgz(r-4.5-arm64)
FKSUM_1.0.1.tar.gz(r-4.7-arm64)FKSUM_1.0.1.tar.gz(r-4.7-x86_64)FKSUM_1.0.1.tar.gz(r-4.6-arm64)FKSUM_1.0.1.tar.gz(r-4.6-x86_64)
FKSUM_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FKSUM/json (API)

# Install 'FKSUM' in R:

install.packages('FKSUM', repos = c('https://davidhofmeyr.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.48 score 1 packages 3 scripts 352 downloads 13 exports 8 dependencies

Last updated from:c88492cfca. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	128
linux-devel-x86_64	OK	133
source / vignettes	OK	209
linux-release-arm64	OK	125
linux-release-x86_64	OK	144
macos-release-arm64	OK	158
macos-release-x86_64	OK	218
macos-oldrel-arm64	OK	216
macos-oldrel-x86_64	OK	428
windows-devel-arm64	OK	350
windows-devel-x86_64	OK	187
windows-release-arm64	OK	355
windows-release-x86_64	OK	129
windows-oldrel-x86_64	OK	121
wasm-release	OK	119

Exports:fk_density fk_ICA fk_mdh fk_ppr fk_regression fk_sum h_Gauss_to_K h_K_to_Gauss norm_const_K norm_K plot_kernel roughness_K var_K

Dependencies:lattice MASS Matrix rARPACK Rcpp RcppArmadillo RcppEigen RSpectra

Help page	Topics
Fast Exact Kernel Smoothing	FKSUM-package FKSUM
Fast univariate kernel density estimation	fk_density
Independent component analysis with sample entropy estimated via kernel density	fk_ICA
Minimum density hyperplanes	fk_mdh
Projection pursuit regression with local linear kernel smoother	fk_ppr
Fast univariate kernel regression	fk_regression
Fast Exact Kernel Sum Evaluation	fk_sum
Bandwidth conversion from Gaussian	h_Gauss_to_K
Bandwidth conversion to Gaussian	h_K_to_Gauss
Normalising constant for kernels in FKSUM	norm_const_K
The L2 norm of a kernel	norm_K
Plot the shape of a kernel function implemented in FKSUM based on its vector of beta coefficients	plot_kernel
Plot method for class fk_density	plot.fk_density
Plot method for class fk_ICA	plot.fk_ICA
Plot method for class fk_mdh	plot.fk_mdh
Plot method for class fk_ppr	plot.fk_ppr
Plot method for class fk_regression	plot.fk_regression
Predict method for class fk_ppr	predict.fk_ppr
Predict method for class fk_regression	predict.fk_regression
Print method for class fk_density	print.fk_density
Print method for class fk_ICA	print.fk_ICA
Print method for class fk_mdh	print.fk_mdh
Print method for class fk_ppr	print.fk_ppr
Print method for class fk_regression	print.fk_regression
Kernel roughness	roughness_K
Variance of a kernel	var_K

Package: FKSUM 1.0.1

FKSUM: Fast Kernel Sums

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)