Package: kde1d 1.2.2

kde1d: Univariate Kernel Density Estimation

Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded, discrete, and zero-inflated data. See Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Geenens (2014) <doi:10.48550/arXiv.1303.4121>, 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_1.2.2.tar.gz
kde1d_1.2.2.zip(r-4.7-x86_64)kde1d_1.2.2.zip(r-4.7-arm64)kde1d_1.2.2.zip(r-4.6-x86_64)kde1d_1.2.2.zip(r-4.6-arm64)kde1d_1.2.2.zip(r-4.5-x86_64)
kde1d_1.2.2.tgz(r-4.6-x86_64)kde1d_1.2.2.tgz(r-4.6-arm64)kde1d_1.2.2.tgz(r-4.5-x86_64)kde1d_1.2.2.tgz(r-4.5-arm64)
kde1d_1.2.2.tar.gz(r-4.7-arm64)kde1d_1.2.2.tar.gz(r-4.7-x86_64)kde1d_1.2.2.tar.gz(r-4.6-arm64)kde1d_1.2.2.tar.gz(r-4.6-x86_64)
kde1d_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
kde1d/json (API)

# 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

7.30 score 14 stars 17 packages 84 scripts 1.7k downloads 6 exports 5 dependencies

Last updated from:9ac579edef. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK159
linux-devel-x86_64OK180
source / vignettesOK223
linux-release-arm64OK122
linux-release-x86_64OK137
macos-release-arm64OK163
macos-release-x86_64OK351
macos-oldrel-arm64OK117
macos-oldrel-x86_64OK217
windows-devel-arm64OK203
windows-devel-x86_64OK159
windows-release-arm64OK239
windows-release-x86_64OK152
windows-oldrel-x86_64OK151
wasm-releaseOK102

Exports:dkde1dequi_jitterkde1dpkde1dqkde1drkde1d

Dependencies:BHrandtoolboxRcppRcppEigenrngWELL