kde1d: Univariate Kernel Density Estimation

Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <arXiv:1303.4121>, Geenens and Wang (2018) <arXiv:1602.04862>, Nagler (2018a) <arXiv:1704.07457>, Nagler (2018b) <arXiv:1705.05431>.

Package details

AuthorThomas Nagler [aut, cre], Thibault Vatter [aut]
MaintainerThomas Nagler <[email protected]>
LicenseMIT + file LICENSE
Version0.4.0
URL https://github.com/tnagler/kde1d
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("kde1d")

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kde1d documentation built on May 2, 2019, 2:38 a.m.