R Observatory: Metrics for kdensity version 1.2.0

Balamuta, James Joseph

kdensity

1.2.0

Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

3packages depend

11.3Kdownloads / year

99.1%test coverage

11/13checks pass

Overview

About

Maintained by Jonas MossFirst published 2018-02-275 releasesCRAN page ↗GitHub ↗

Handles univariate non-parametric density estimation with parametric starts and asymmetric kernels in a simple and flexible way. Kernel density estimation with parametric starts involves fitting a parametric density to the data before making a correction with kernel density estimation, see Hjort & Glad (1995) doi:10.1214/aos/1176324627. Asymmetric kernels make kernel density estimation more efficient on bounded intervals such as (0, 1) and the positive half-line. Supported asymmetric kernels are the gamma kernel of Chen (2000) doi:10.1023/A:1004165218295, the beta kernel of Chen (1999) doi:10.1016/S0167-9473(99)00010-9, and the copula kernel of Jones & Henderson (2007) doi:10.1093/biomet/asm068. User-supplied kernels, parametric starts, and bandwidths are supported.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("kdensity", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("JonasMoss/kdensity")

Development version from JonasMoss/kdensity. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-kdensity

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-kdensity

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-kdensity

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 2.1 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.19

99.1%

Coverage · measured lines

100%

Documentation · exports

1

Dependencies · direct

Check history

NOTE2026-07-11
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-06-08
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 953 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 20%

Downloads

11.3K

CRAN downloads in the past year

Rank #5,514 · ~31/day · ~943/mo

Releases R versions

Daily download trend is not available in this view yet.

31530 days

1.5K90 days

11.3K1 year

Compare downloads with other packages →

Also on130 r2u8 autocran

Repository

GitHub ↗ jonasmoss/kdensity

17Stars

4Forks

0Open issues

0Open PRs

6Releases

275Commits

3Contributors

non-parametrickernel-density-estimationasymmetric-kernelsdensity-estimation

275 commits · Last activity 2026-05-05 · 0% stars, 30d

Stars over time

2025-02-10 · 162026-07-07 · 17

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/jonasmoss/kdensity on 2026-08-03.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Show all practices

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: codex on 2026-05-04

codexclaudegemini

Most recent: gemini on 2026-07-18

Evidence

agents-md: on 2026-05-04 · evidence D
codex: on 2026-05-04 · evidence D
claude: on 2026-05-04 · evidence B, D
gemini: on or before 2026-07-18 · evidence D

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

univariateML

LinkingTo (0)

none

Suggests (4)

extraDistr testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

0indirect

RealSurvSim tscopula TreeDist

Code & Tests

People & History

People (2)

Maintainer (1)

Jonas Moss

Author, Maintainer

Authors (1)

Jonas Moss

Author, Maintainer

Contributors (1)

Martin Tveten

Contributor

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

1.2.0Latest
2026-05-05 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.1
2025-03-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.1.0
2020-09-30 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.0.1
2019-07-11 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.0.0
2018-02-27
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-02-27
Total releases: 5 / 8 yrs
License: MIT + file LICENSE OSI
Download size: 218 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("kdensity")

CRAN DOI

https://doi.org/10.32614/CRAN.package.kdensity

BibTeX, derived from DESCRIPTION

@Manual{kdensity,
  title  = {kdensity: Kernel Density Estimation with Parametric Starts and Asymmetric
Kernels},
  author = {Moss, Jonas and Tveten, Martin},
  year   = {2026},
  note   = {R package version 1.2.0},
  doi    = {10.32614/CRAN.package.kdensity},
  url    = {https://CRAN.R-project.org/package=kdensity}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorykdensity,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {kdensity} version 1.2.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/kdensity},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for kdensity version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/kdensity

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for kdensity version 1.2.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/kdensity
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/kdensity.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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