R Observatory: Metrics for kernstadapt version 0.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

kernstadapt

0.4.0Package record

Adaptive Kernel Estimators for Point Process Intensities on Linear Networks

0packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jonatan A GonzálezCRAN page ↗

Adaptive estimation of the first-order intensity function of a spatio-temporal point process using kernels and variable bandwidths. The methodology used for estimation is presented in González and Moraga (2022). doi:10.48550/arXiv.2208.12026.

Install

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

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

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

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-kernstadapt

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-kernstadapt

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-kernstadapt

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: 2.9 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.0

READMEYes · 152 wordsVignettesYes · 3 · staticNEWSYes · 67% structured · does not mention 0.4.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 14
Examples that run: 92%11 run in a plain check · 1 hold no code
Exported functions with examples: 80%
Documented parameters: 94%
Return-value docs: 100%
Help pages citing references: 93%

Vignettes (3)

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #18,620 · ~7/day · ~220/mo

Releases R versions

Daily download trend is not available in this view yet.

27530 days

68890 days

2.6K1 year

Compare downloads with other packages →

Also on70 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing kernstadapt adds 20 packages (11 with compiled code, 11 MB of source tarballs). Heaviest: spatstat 4.3 MB, spatstat.data 2.9 MB, spatstat.model 849 KB.

Depends (1)

R >= 4.0

Imports (8)

misc3d sparr spatstat.explore spatstat.univar spatstat.geom spatstat.random spatstat.utils spatstat.linnet

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown ggplot2

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 (2)

Jonatan A González

Author, Maintainer since 0.0.1 (2022)

Paula Moraga

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
unarchivedReturned to CRAN
2024-09-26
0.4.0Latest
record
2024-09-26 · current release · diff ↗ ·
added 3 exports
bw.abram.net, dens.net.EqualSplit, dens.net.heat
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-04-20
issues were not corrected despite reminders
R
R 4.3.0 released · 2023-04-21
0.0.2
record
2022-11-15 · diff ↗
0.0.1
record
2022-09-20
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-09-20
Total releases: 3 / 4 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0
Bundled data: 779 KB / 4 files
Download size: 1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kernstadapt")

Format

González, J. A., & Moraga, P. (2024). kernstadapt: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.kernstadapt

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 kernstadapt version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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