Package: kde1d 1.1.1

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) <doi:10.48550/arXiv.1303.4121>, Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Nagler (2018a) <doi:10.48550/arXiv.1704.07457>, Nagler (2018b) <doi:10.48550/arXiv.1705.05431>.

Authors:Thomas Nagler [aut, cre], Thibault Vatter [aut]

kde1d_1.1.1.tar.gz
kde1d_1.1.1.zip(r-4.7)kde1d_1.1.1.zip(r-4.6)kde1d_1.1.1.zip(r-4.5)
kde1d_1.1.1.tgz(r-4.6-x86_64)kde1d_1.1.1.tgz(r-4.6-arm64)kde1d_1.1.1.tgz(r-4.5-x86_64)kde1d_1.1.1.tgz(r-4.5-arm64)
kde1d_1.1.1.tar.gz(r-4.7-arm64)kde1d_1.1.1.tar.gz(r-4.7-x86_64)kde1d_1.1.1.tar.gz(r-4.6-arm64)kde1d_1.1.1.tar.gz(r-4.6-x86_64)
kde1d_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
kde1d/json (API)
NEWS

# Install 'kde1d' in R:
install.packages('kde1d', repos = c('https://tnagler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tnagler/kde1d/issues

Pkgdown/docs site:https://tnagler.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

6.46 score 14 stars 17 packages 74 scripts 1.1k downloads 6 exports 5 dependencies

Last updated from:a74eb355bb. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK155
linux-devel-x86_64OK138
source / vignettesOK219
linux-release-arm64OK131
linux-release-x86_64OK141
macos-release-arm64OK135
macos-release-x86_64OK364
macos-oldrel-arm64OK128
macos-oldrel-x86_64OK183
windows-develOK134
windows-releaseOK159
windows-oldrelOK172
wasm-releaseOK124

Exports:dkde1dequi_jitterkde1dpkde1dqkde1drkde1d

Dependencies:BHrandtoolboxRcppRcppEigenrngWELL