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 <mail@tnagler.com>
LicenseMIT + file LICENSE
Version1.0.3
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")

Try the kde1d package in your browser

Any scripts or data that you put into this service are public.

kde1d documentation built on Oct. 26, 2020, 5:07 p.m.