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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: | 1.0.1 |
| Depends: | Rcpp (≥ 0.12.16) |
| Imports: | rARPACK, MASS, Matrix |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2023-04-15 |
| 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 |
| Reference manual: | FKSUM.pdf |
| Package source: | FKSUM_1.0.1.tar.gz |
| Windows binaries: | r-devel: FKSUM_1.0.1.zip, r-release: FKSUM_1.0.1.zip, r-oldrel: FKSUM_1.0.1.zip |
| macOS binaries: | r-release (arm64): FKSUM_1.0.1.tgz, r-oldrel (arm64): FKSUM_1.0.1.tgz, r-release (x86_64): FKSUM_1.0.1.tgz, r-oldrel (x86_64): FKSUM_1.0.1.tgz |
| Old sources: | FKSUM archive |
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