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enmSdmX

1.2.12Package record

Species Distribution Modeling and Ecological Niche Modeling

0packages depend
5.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with 'PROJ6' geodetic objects and coordinate reference systems.

Changes in 1.2.12
  • Fixed bug that sometimes appeared in coordImprecision() because output included units :(.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-06
  • ERROR13 OK, 1 ERROR2026-04-04
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.12
READMEYes · 1,079 wordsVignettesNoNEWSYes · 100% structured · mentions 1.2.12Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
64 (6 internal)includes a package overview page
Examples that run
72%41 run in a plain check · 14 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples
100%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
22%

Downloads

5.1K
CRAN downloads in the past year
Rank #6,627 · ~14/day · ~421/mo
Daily download trend is not available in this view yet.
56230 days
1.3K90 days
5.1K1 year
Compare downloads with other packages →
Also on98 r2u8 autocran

Repository

30Stars
3Forks
0Open issues
1Open PRs
2Releases
289Commits
2Commit identities
bias-correctionbiogeographyecological-niche-modellingniche-modelingniche-modellingspecies-distribution-modelingecological-niche-modeling
289 commits · Last activity 2025-02-20 · 0% stars, 30d · The default branch showed an older version (1.2.11) than CRAN on 2026-10-21
Responsiveness
How these are sampled
PRs merged (all time)
96%
Median days to close, 50 most recently updated closed issues
44
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-06-30 · 242026-08-25 · 30
PracticesBeta

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

Checks run against github.com/adamlilith/enmsdmx 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

Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing enmSdmX adds 93 packages (53 with compiled code, 92 MB of source tarballs). Heaviest: sf 9.3 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Maintainer since 1.0.0 (2022), Author
Listed in earlier versions (1)
Smith
no longer listed · 1.2.10 to 1.2.12
Releases (12)

Pick two releases to compare their code metrics.

Show 1 earlier eventHide 1 earlier event
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-12-12
Total releases
12 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
325 KB / 4 files
Download size
1.3 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("enmSdmX")

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

It points to 10.1111/geb.13628.

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 enmSdmX version 1.2.12 [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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