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
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FKSUM.pdf |FKSUM.html✨
FKSUM/json (API)

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

Peer review:

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.

1.48 score 1 packages 2 scripts 304 downloads 13 exports 8 dependencies

Last updated 2 years agofrom:c88492cfca. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:fk_densityfk_ICAfk_mdhfk_pprfk_regressionfk_sumh_Gauss_to_Kh_K_to_Gaussnorm_const_Knorm_Kplot_kernelroughness_Kvar_K

Dependencies:latticeMASSMatrixrARPACKRcppRcppArmadilloRcppEigenRSpectra