Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Alejandro Quintela-del-Río [aut], Graciela Estévez-Pérez [aut], Ignacio López-de-Ullibarri [cre] |
| Maintainer | Ignacio López-de-Ullibarri <ignacio.lopezdeullibarri@udc.es> |
| License | GPL (>= 2) |
| Version | 1.3-1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the kerdiest package in your browser
Any scripts or data that you put into this service are public.
