R Observatory: Metrics for eks version 1.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

eks

1.1.3Package record

Tidy and Geospatial Kernel Smoothing

0packages depend

5.2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Tarn DuongCRAN page ↗GitHub ↗Website ↗

Extensions of the kernel smoothing functions from the 'ks' package for compatibility with the tidyverse and geospatial ecosystems doi:10.1007/s00180-024-01543-9.

Install

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

install.packages("eks", 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("cran/eks")

Development version from cran/eks. 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-eks

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-eks

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-eks

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

13OK

CRAN check page ↗

Slowest check: 4.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-05
ERROR12 OK, 1 ERROR2026-05-04
OK13 OK2026-04-30

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-04-28
OK14 OK2026-03-28
ERROR13 OK, 1 ERROR2026-03-21
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.3

READMEYes · 281 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes

Help pages: 26 (1 internal)includes a package overview page
Examples that run: 76%16 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 91%
Documented parameters: 88%
Return-value docs: 96%
Help pages citing references: 8%

Vignettes (1)

Kernel density estimates for tidy and geospatial data in the eks package HTML

How these are measured

Downloads

5.2K

CRAN downloads in the past year

Rank #6,356 · ~14/day · ~433/mo

Releases R versions

Daily download trend is not available in this view yet.

54730 days

1.3K90 days

5.2K1 year

Compare downloads with other packages →

Also on376 r2u1 autocran

How downloads are counted

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing eks adds 43 packages (28 with compiled code, 41 MB of source tarballs). Heaviest: sf 9.3 MB, ggplot2 6.0 MB, s2 2.8 MB.

Depends (1)

R >= 2.10.0

Imports (6)

colorspace dplyr ggplot2 isoband ks (>= 1.15.0)sf

LinkingTo (0)

none

Suggests (5)

ggquiver knitr mapsfMASSrmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Tarn Duong

Author, Maintainer since 1.0.0 (2022)

Releases (12)

Pick two releases to compare their code metrics.

1.1.3Latest
record
2026-05-10 · current release · diff ↗ ·
added 1 export
theme_sf
R
R 4.6.0 released · 2026-04-24
1.1.2
record
2025-12-08 · diff ↗ ·
added 1 export
add_contour_breaks
1.1.1
record
2025-07-08 · diff ↗
1.1.0
record
2025-05-18 · diff ↗ ·
removed 2 exports
scale_transparent, st_cast_ks

added 7 exports
scale_asymmetric, scale_transp_neutral, tidy_as_kde, st_as_kde, tidy_intergrid, st_intergrid, unfactor
R
R 4.5.0 released · 2025-04-11
1.0.7
record
2025-01-15 · diff ↗
1.0.6
record
2024-11-29 · diff ↗
1.0.5
record
2024-05-02 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.4
record
2023-05-25 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.3
record
2023-03-09 · diff ↗
1.0.2
record
2022-11-29 · diff ↗ ·
added 2 exports
stat_rug_ks, StatRugKs
R
R 4.2.0 released · 2022-04-22
1.0.1
record
2022-03-16 · diff ↗

Show 2 earlier eventsHide 2 earlier events

1.0.0
record
2022-02-11
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-02-11
Total releases: 12 / 4 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 2.10.0
Bundled data: 406 KB / 3 files
Download size: 950 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("eks")

Format

Duong, T. (2026). eks: Tidy and Geospatial Kernel Smoothing (Version 1.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.eks

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 eks version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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