CRAN/E | kde1d

kde1d

Univariate Kernel Density Estimation

Installation

About

Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) , Geenens and Wang (2018) , Nagler (2018a) , Nagler (2018b) .

github.com/tnagler/kde1d
Bug report File report

Key Metrics

Version 1.0.7
Published 2024-01-26 85 days ago
Needs compilation? yes
License MIT
License File
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Downloads

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Maintainer

Maintainer

Thomas Nagler

mail@tnagler.com

Authors

Thomas Nagler

aut / cre

Thibault Vatter

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

kde1d archive

Imports

graphics
Rcpp
randtoolbox
stats
utils

Suggests

testthat

LinkingTo

BH
Rcpp
RcppEigen

Reverse Imports

rvinecopulib
vinereg

Reverse Suggests

gfilmm

Reverse LinkingTo

portvine
rvinecopulib
vinereg