R Observatory: Metrics for ENMeval version 2.0.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ENMeval

2.0.6Package record

Automated Tuning and Evaluations of Ecological Niche Models

2packages dependsuggested by 3

62Kdownloads / year

44.7%test coverage

13/13flavors OK

Overview

About

Maintained by Jamie M. KassCRAN page ↗Website ↗

Runs ecological niche models over all combinations of user-defined settings (i.e., tuning), performs cross validation to evaluate models, and returns data tables to aid in selection of optimal model settings that balance goodness-of-fit and model complexity. Also has functions to partition data spatially (or not) for cross validation, to plot multiple visualizations of results, to run null models to estimate significance and effect sizes of performance metrics, and to calculate range overlap between model predictions, among others. The package was originally built for Maxent models (Phillips et al. 2006, Phillips et al. 2017), but the current version allows possible extensions for any modeling algorithm. The extensive vignette, which guides users through most package functionality but unfortunately has a file size too big for CRAN, can be found here on the package's Github Pages website: https://jamiemkass.github.io/ENMeval/articles/ENMeval-2.0-vignette.html.

Changes in 2.0.6

Added five new plotting functions to help visualize model behavior under non-analog conditions when transferring models. evalplot.respCurve and evalplot.respCurves plot response curves for non-analog conditions in the transfer region, for one variable or all variables at once, respectively, with the option to compare unconstrained extrapolation and clamping. evalplot.density and evalplot.densities plot kernel density estimates of training vs. transfer conditions, again for one variable or all at once. evalplot.respCurve.dens combines the response curve and density plot for a single variable into one figure (Pinilla-Buitrago et al. 2026 -- check ?evalplot.respCurve, ?evalplot.respCurves, ?evalplot.density, ?evalplot.densities, and ?evalplot.respCurve.dens).
Updated vignette using new functions for current examples. Also, a new example showing difference between response curves type 1 and 2.

From NEWS in the release

Install

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

install.packages("ENMeval", 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-enmeval

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-ENMeval

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-ENMeval

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: 12.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-12
ERROR12 OK, 2 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.6

READMEYes · 621 wordsVignettesNoNEWSYes · 33% structured · mentions 2.0.6Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 80includes a package overview page
Examples that run: 7%1 run in a plain check · 13 never run
Exported functions with examples: 20%
Documented parameters: 100%
Return-value docs: 24%
Help pages citing references: 20%

How these are measured

Downloads

62K

CRAN downloads in the past year

Rank #1,585 · ~170/day · ~5.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

5.2K30 days

14.8K90 days

62K1 year

Compare downloads with other packages →

Also on254 r2u2 autocran2K conda_forge87 c2d4u

How downloads are counted

Repository

jamiemkass/enmeval ↗Account: jamiemkass

60Stars

38Forks

14Open issues

3Open PRs

5Releases

898Commits

15Commit identities

898 commits · Last activity 2026-09-11 · +1.7% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 74%
Median days to close, 50 most recently updated closed issues: 134
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-08-11 · 522026-10-12 · 60

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/jamiemkass/enmeval 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 (3)

pkgdown

GitHub Pages site last deployed 2026-09-11 · The repository has a site deploy workflow

pkgdown site last built 2026-09-11

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-08-26
Commits: at least 3 crediting it in the message

Models named in its commits

Claude Sonnet 53 commits · Aug 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

24 external dependencies (excludes base and recommended)

Installing ENMeval adds 154 packages (75 with compiled code, 127 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (2)

R >= 4.1.0methods

Imports (15)

terra maxnet predictsparallelpatchwork foreachutilsstatsgrDevicesdplyr tidyr ggplot2 glmnet rangeModelMetadata rlang

LinkingTo (0)

none

Suggests (14)

rmarkdowngraphicstestthat knitr rJava spocc RColorBrewer sf blockCV devtools tibble ecospat geodata usdm

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Suggested by 3

Depends, Imports or LinkingTo, most downloaded first

wallace ENMTools

Suggests, most downloaded first

biomod2 BiodiversityR confcons

How these are counted

Code & Tests

Datasets

People & History

People (8)

Jamie M. Kass

Author, Maintainer since 2.0.0 (2021)

Robert P. Anderson

Author

Corentin Bohl

Author · added in 2.0.0

Robert A. Boria

Author

Gonzalo E. Buitrago-Pinilla

Author · added in 2.0.0

Peter J. Galante

Author

Robert Muscarella

Author

Mariano Soley-Guardia

Author

Previously maintained by Robert Muscarella (0.1.0 to 0.3.1).

Listed in earlier versions (1)

Maria Uriarte

no longer listed · 0.1.0 to 0.3.1

Releases (16)

Pick two releases to compare their code metrics.

2.0.6Latest
record
2026-09-11 · current release · diff ↗ ·
added 5 exports
evalplot.densities, evalplot.density, evalplot.respCurve, evalplot.respCurve.dens, evalplot.respCurves
R
R 4.6.0 released · 2026-04-24
2.0.5.2
record
2025-05-01 · diff ↗
2.0.5.1
record
2025-04-30 · diff ↗
R
R 4.5.0 released · 2025-04-11
2.0.5
record
2025-02-11 · diff ↗ ·
removed 2 exports
%>%, similarity

added 5 exports
get.checkerboard, loadENMevaluation, maxnet.predictRaster, parse_lambdas, saveENMevaluation
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
2.0.4
record
2023-01-09 · diff ↗ ·
removed 2 exports
enm.varimp<-, enm.varimp

added 3 exports
enm.variable.importance<-, enm.variable.importance, null.doClamp
R
R 4.2.0 released · 2022-04-22
2.0.3
record
2022-01-10 · diff ↗
2.0.2
record
2021-12-13 · diff ↗
2.0.1
record
2021-06-12 · diff ↗ ·
added 2 exports
ENMevaluation_convert, corrected.var
2.0.0
record
2021-05-19 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 73 exports
%>%, enm.args<-, enm.errors<-, enm.fun<-, enm.msgs<-, enm.name<-, enm.ncoefs<-, enm.predict<-, enm.varimp<-, ENMdetails, ENMevaluate, ENMevaluation, ENMnull, ENMnulls, aic.maxent, buildRMM, calc.niche.overlap, clamp.vars, emp.bg, emp.bg.grp, emp.occs, emp.occs.grp, enm.args, enm.bioclim, enm.errors, enm.fun, enm.maxent.jar, enm.maxnet, enm.msgs, enm.name and 43 more
R
R 4.1.0 released · 2021-05-18
0.3.1
record
2020-09-12 · diff ↗

Show 13 earlier eventsHide 13 earlier events

R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.3.0
record
2018-08-15 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
0.2.2
record
2017-01-10 · diff ↗
R
R 3.3.0 released · 2016-05-03
0.2.1
record
2016-01-04 · diff ↗
0.2.0
record
2015-09-11 · diff ↗
R
R 3.2.0 released · 2015-04-16
0.1.1
record
2014-10-05 · diff ↗
0.1.0
record
2014-08-26
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-08-26
Total releases: 16 / 12 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.9 MB / 2 files
Download size: 2.0 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("ENMeval")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1111/2041-210x.13628.

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 ENMeval version 2.0.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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