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ecotrends needs insight (through modEvA → effectsize), which CRAN will archive unless its check problems are fixed by Nov 14.

ecotrends

1.2Package record

Temporal Trends in Ecological Niche Models

0packages depend
6.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Computes temporal trends in environmental suitability obtained from ecological niche models, based on a set of species presence point coordinates and predictor variables.

Changes in 1.2
  • DESCRIPTION, NAMESPACE
  • removed dependency on the {collinear} package, as its updates were often not backward-compatible and introduced breaking changes
  • getModels()
  • collinearity is now reduced with fuzzySim::corSelect() and fuzzySim::multicol(), instead of collinear::collinear()

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 1.2Citation fileYes · software entry only
Help pages
9 (1 internal)includes a package overview page
Examples that run
25%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 5 hold no code
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
56%

Downloads

6.1K
CRAN downloads in the past year
Rank #10,053 · ~17/day · ~510/mo
Daily download trend is not available in this view yet.
33730 days
1K90 days
6.1K1 year
Compare downloads with other packages →
Also on98 r2u7 autocran

Repository

16Stars
3Forks
0Open issues
0Open PRs
0Releases
119Commits
1Commit identities
119 commits · Last activity 2026-02-04 · 0% stars, 30d · Default branch at 1.2.1, ahead of CRAN 1.2 (checked 2026-10-21)
Responsiveness
not measured

Stars over time

2025-02-02 · 122026-09-07 · 16
PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/ambarbosa/ecotrends on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Governance and community (1)

The repository owner accepts GitHub Sponsors

Docs source (2)
README.Rmdpkgdown
Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing ecotrends adds 20 packages (8 with compiled code, 27 MB of source tarballs). Heaviest: stringi 11 MB, glmnet 2.7 MB, performance 1.9 MB.

Depends (1)
R >= 3.6
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (9)
Author, Maintainer since 1.0 (2025)
Listed in earlier versions (3)
Show 3 peopleHide 3 people
Barbosa
no longer listed · 1.0 to 1.2
Duarte
no longer listed · 1.0 to 1.2
Teodoro
no longer listed · 1.0 to 1.2
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2Latest
    record
    2025-12-09 · current release · diff ↗
  • 1.1
    record
    2025-07-07 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0
    record
    2025-03-05
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-03-05
Total releases
3 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.6
Download size
1.5 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("ecotrends")

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

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 ecotrends version 1.2 [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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