kedd: Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

Smoothing techniques and computing bandwidth selectors of the nth derivative of a probability density for one-dimensional data (described in Arsalane Chouaib Guidoum (2020) <arXiv:2012.06102> [stat.CO]).

Version: 1.0.4
Depends: R (≥ 2.15.0)
Suggests: nor1mix, ks, sm, locfit, orthopolynom
Published: 2024-02-01
Author: Iago Giné-Vázquez ORCID iD [cre], Arsalane Chouaib Guidoum [aut]
Maintainer: Iago Giné-Vázquez <iago.gin-vaz at protonmail.com>
BugReports: https://gitlab.com/iagogv/kedd/-/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://gitlab.com/iagogv/kedd
NeedsCompilation: no
Classification/MSC: 62G05, 62G07, 65D10, 68N15
Citation: kedd citation info
Materials: README NEWS
CRAN checks: kedd results

Documentation:

Reference manual: kedd.pdf
Vignettes: Introduction to kedd
Kernel estimator and bandwidth selection for density and its derivatives

Downloads:

Package source: kedd_1.0.4.tar.gz
Windows binaries: r-devel: kedd_1.0.4.zip, r-release: kedd_1.0.4.zip, r-oldrel: kedd_1.0.4.zip
macOS binaries: r-release (arm64): kedd_1.0.4.tgz, r-oldrel (arm64): kedd_1.0.4.tgz, r-release (x86_64): kedd_1.0.4.tgz
Old sources: kedd archive

Linking:

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