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kerdiest  

Nonparametric Kernel Estimation of Distribution Function
View on CRAN: Click here


Download and install kerdiest package within the R console
Install from CRAN:
install.packages("kerdiest")

Install from Github:
library("remotes")
install_github("cran/kerdiest")

Install by package version:
library("remotes")
install_version("kerdiest", "1.3-1")



Attach the package and use:
library("kerdiest")
Maintained by
Ignacio López-de-Ullibarri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-03-09
Latest Update: 2025-06-23
Description:
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>.
How to cite:
Ignacio López-de-Ullibarri (2011). kerdiest: Nonparametric Kernel Estimation of Distribution Function. R package version 1.3-1, https://cran.r-project.org/web/packages/kerdiest. Accessed 04 Jul. 2026.
Previous versions and publish date:
1.0 (2011-03-09 15:25), 1.1 (2011-03-31 17:18), 1.2 (2012-08-13 09:57)
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Complete documentation for kerdiest
Functions, R codes and Examples using the kerdiest R package
Full kerdiest package functions and examples
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