R Observatory: Metrics for kdensity version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

kdensity

1.2.0Package record

Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

2packages dependsuggested by 1

9Kdownloads / year

99.1%test coverage

11/13flavors OK

Overview

About

Maintained by Jonas MossCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 1.2.0

New closed-form bandwidth selector "HS", based on Hallberg Szabadváry's beta reference rule (arXiv:2601.19553). It is now the default bandwidth for the bias-corrected beta kernel with a uniform or constant start, with a fallback heuristic when the rule's moment conditions are not satisfied.
RHE no longer depends on the EQL package; the Hermite polynomials are evaluated inline (matches the previous numeric output to ~1e-12).
Trimmed dependencies: EQL removed from Imports; assertthat, testthat, extraDistr, and other build-time helpers no longer required at install time.
Internal cleanup: the R/ source layout is consolidated into bandwidths.R, kernels.R, starts.R, and helpers.R; no user-visible API changes.

From NEWS.md in the release

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Rd files without \usage:
  ‘bandwidths.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 2.1 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 1 NOTE2026-07-11
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMEYes · 953 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 15 (10 internal)
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 20%

Vignettes (1)

Tutorial for `kdensity` HTML

How these are measured

Downloads

9K

CRAN downloads in the past year

Rank #5,038 · ~25/day · ~748/mo

Releases R versions

Daily download trend is not available in this view yet.

75130 days

1.6K90 days

9K1 year

Compare downloads with other packages →

Also on156 r2u4 autocran

How downloads are counted

Repository

jonasmoss/kdensity ↗Account: JonasMoss

17Stars

4Forks

0Open issues

0Open PRs

6Releases

275Commits

3Commit identities

non-parametrickernel-density-estimationasymmetric-kernelsdensity-estimation

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

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 6
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-02-10 · 162026-07-07 · 17

How these are measured

PracticesBeta

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

Checks run against github.com/jonasmoss/kdensity on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)

README.Rmd

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

Show all practicesHide 1 practice

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Codexfirst seen 2026-05-04
Named in .gitignore: .codex
Claude Codefirst seen 2026-05-04
Named in .Rbuildignore: .claude
Pull request it wrote: opened by a project member
Commits: at least 5 crediting it in the message
Gemini CLIfirst seen on or before 2026-07-18
Config: a file or ignore line, not recorded which

Shared conventions any agent may read, so they name no particular tool.

Seen in the repository: AGENTS.md

Models named in its commits

Claude Opus 4.75 commits · May 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing kdensity adds 45 packages (28 with compiled code, 27 MB of source tarballs). Heaviest: poweRlaw 4.3 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (0)

none

Imports (1)

univariateML

LinkingTo (0)

none

Suggests (4)

extraDistr testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

tscopula RealSurvSim

Suggests, most downloaded first

TreeDist

How these are counted

Code & Tests

People & History

People (2)

Jonas Moss

Author, Maintainer since 1.0.0 (2018)

Martin Tveten

Contributor

Releases (5)

Pick two releases to compare their code metrics.

1.2.0Latest
record
2026-05-04 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.1
record
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
record
2020-09-30 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.0.1
record
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
record
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: 195 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kdensity")

Format

Moss, J., & Tveten, M. (2026). kdensity: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.kdensity

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for kdensity version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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