kerdiest: Nonparametric Kernel Estimation of Distribution Function

Nonparametric kernel distribution function estimation is performed. Three bandwidth selectors are implemented: the plug-in selectors of Altman and Leger and of Polansky and Baker, and the cross-validation selector of Bowman, Hall and Prvan. The exceedance function, the mean return period and the return level are also computed. For details, see Quintela-del-Río and Estévez-Pérez (2012) <doi:10.18637/jss.v050.i08>.

Version:	1.3-1
Depends:	R (≥ 4.5.0)
Suggests:	chron, date, evir
Published:	2025-06-23
Author:	Alejandro Quintela-del-Río [aut], Graciela Estévez-Pérez [aut], Ignacio López-de-Ullibarri [cre]
Maintainer:	Ignacio López-de-Ullibarri <ignacio.lopezdeullibarri at udc.es>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	kerdiest citation info
CRAN checks:	kerdiest results

Documentation:

Reference manual:

kerdiest.html , kerdiest.pdf

Downloads:

Package source:	kerdiest_1.3-1.tar.gz
Windows binaries:	r-devel: kerdiest_1.3-1.zip, r-release: kerdiest_1.3-1.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): kerdiest_1.3-1.tgz, r-oldrel (arm64): not available, r-release (x86_64): kerdiest_1.3-1.tgz, r-oldrel (x86_64): not available
Old sources:	kerdiest archive

Reverse dependencies:

Reverse suggests:

LSAmitR

Linking:

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