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kuenm2

0.1.3Package record

Detailed Development of Ecological Niche Models

0packages depend
3.5Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

A new set of tools to help with the development of detailed ecological niche models using multiple algorithms. Pre-modeling analyses and explorations can be done to prepare data. Model calibration (model selection) can be done by creating and testing models with several parameter combinations. Handy options for producing final models with transfers are included. Other tools to assess extrapolation risks and variability in model transfers are also available. Methodological and theoretical basis for the methods implemented here can be found in: Peterson et al. (2011) https://www.degruyter.com/princetonup/view/title/506966, Radosavljevic and Anderson (2014) doi:10.1111/jbi.12227, Peterson et al. (2018) doi:10.1111/nyas.13873, Cobos et al. (2019) doi:10.7717/peerj.6281, Alkishe et al. (2020) doi:10.1016/j.pecon.2020.03.002, Machado-Stredel et al. (2021) doi:10.21425/F5FBG48814, Arias-Giraldo and Cobos (2024) doi:10.17161/bi.v18i.21742, Cobos et al. (2024) doi:10.17161/bi.v18i.21742.

Changes in 0.1.3
  • In bivariate_response(), store and restore graphical parameters only when plotting area is modified.
  • In response_curves(), omit graphical parameter storing and resetting to allow plotting in multipanel figures.
  • In projection_changes(), create data.frame to set levels representing changes outside of the loop. This ensures it works correctly even when by_gcm is set to FALSE.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 12.7 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK7 OK2026-03-30
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 1,426 wordsVignettesYes · 8 · dynamicNEWSYes · 100% structured · mentions 0.1.3Citation fileNoWebsiteYes · pkgdown
Help pages
78includes a package overview page
Examples that run
100%56 run in a plain check
Exported functions with examples
90%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
6%

Downloads

3.5K
CRAN downloads in the past year
Rank #6,101 · ~10/day · ~295/mo
Daily download trend is not available in this view yet.
50930 days
1.4K90 days
3.5K1 year
Compare downloads with other packages →
Also on62 r2u4 autocran

Repository

12Stars
4Forks
0Open issues
0Open PRs
2Releases
737Commits
6Commit identities
737 commits · Last activity 2026-10-01 · Default branch at 0.1.4, ahead of CRAN 0.1.3 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
82
Median days to close, 50 most recently updated closed PRs
0

Forks over time

2026-07-14 · 32026-08-07 · 4
PracticesBeta

9 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/marlonecobos/kuenm2 on 2026-10-21.

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 (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-18 · The repository has a site deploy workflow

pkgdown site last built 2026-10-18

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing kuenm2 adds 16 packages (9 with compiled code, 14 MB of source tarballs). Heaviest: enmpa 2.7 MB, glmnet 2.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.5
Imports (13)
doSNOWenmpaforeachfpROCglmnetgrDevicesgraphicsmgcvmop (>= 0.1.3)parallelstatsterrautils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 0.1.2 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.3Latest
    record
    2026-04-20 · current release · diff ↗
  • 0.1.2
    record
    2026-03-29
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-29
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5
Bundled data
710 KB / 16 files
Download size
2.7 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kuenm2")
Trindade, W. C. F., Arias-Giraldo, L. F., Cobos, M. E., Osorio-Olvera, L., & Peterson, A. T. (2026). kuenm2: Detailed Development of Ecological Niche Models (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.kuenm2

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for kuenm2 version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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