kedd: Kernel Estimator and Bandwidth Selection for Density and Its
Derivatives
Kernel estimation of a univariate probability density and of its
derivatives of any order r, with data-driven bandwidth selection. Provides the
kernel estimator of the derivative of order r, the kernels, their derivatives and
convolutions, and eight bandwidth selectors: the asymptotic MISE rule (AMISE),
and unbiased (UCV), biased (BCV1, BCV2), complete (CCV), modified (MCV),
trimmed (TCV), smoothed (SCV) and maximum-likelihood (MLCV) cross-validation.
Supports ten named kernels (Gaussian, Epanechnikov, uniform, triangular,
biweight, triweight, tricube, cosine, Silverman, logistic) and the power
family Pow(s,t), c(1-|x|^s)^t on [-1,1]. Results are S4 objects with 'ggplot2'
graphics; the O(n^2) criteria are computed in C++ ('Rcpp') with 'OpenMP'
parallelism. Includes five example samples from Marron and Wand (1992)
normal mixtures, a vignette and demos. Companion to Guidoum (2020)
<doi:10.48550/arXiv.2012.06102>.
| Version: |
2.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp (≥ 1.0.0), methods, stats, graphics, ggplot2 (≥ 3.4.0), tools, utils |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, testthat, covr |
| Published: |
2026-11-02 |
| DOI: |
10.32614/CRAN.package.kedd |
| Author: |
Arsalane Chouaib Guidoum
 [aut, cre],
Amel Henider [aut],
Iago Giné-Vázquez
[ctb] |
| Maintainer: |
Arsalane Chouaib Guidoum <acguidoum at univ-tam.dz> |
| BugReports: |
https://github.com/ac-guidoum/kedd/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/ac-guidoum/kedd,
https://arxiv.org/abs/2012.06102 |
| NeedsCompilation: |
yes |
| Citation: |
kedd citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
kedd results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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