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tidysdm

1.0.4Package record

Species Distribution Models with Tidymodels

0packages depend
6.4Kdownloads / year
75.0%test coverage
13/13flavors OK

Overview

About

Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, models and metrics specific to SDMs, as well as a number of specialised functions to process occurrences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2024) doi:10.1111/2041-210X.14406.

Changes in 1.0.4
  • improve documentation of calib_class_threshold and implement collect_calib_thresh
  • update saved objects to the new version of xgboost

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 15.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
  • NOTE11 OK, 3 NOTE2026-04-24
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-20
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.4
READMEYes · 632 wordsVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.0.4Citation fileNoWebsiteYes · pkgdown
Help pages
73 (12 internal)includes a package overview page
Examples that run
97%29 run in a plain check (6 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
7%

Downloads

6.4K
CRAN downloads in the past year
Rank #7,298 · ~17/day · ~529/mo
Daily download trend is not available in this view yet.
46430 days
1.2K90 days
6.4K1 year
Compare downloads with other packages →
Also on190 r2u4 autocran1.1K conda_forge

Repository

37Stars
11Forks
3Open issues
2Open PRs
6Releases
612Commits
16Commit identities
rspecies-distribution-modellingtidymodels
License file reads as AGPL-3.0 · 612 commits · Last activity 2026-07-15 · 0% stars, 30d · Default branch at 1.0.4.9007, ahead of CRAN 1.0.4 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
6
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-08-15 · 342026-07-07 · 37
PracticesBeta

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

Checks run against github.com/evolecolgroup/tidysdm on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)
Code of conductContributing guideIssue templates
Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-07-15 · The repository has a site deploy workflow

pkgdown site last built 2025-12-14

Coverage (2)
Coverage reporting.covrignore
Show all practicesHide 3 practices
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Lint, format, editor (2)
lintrLint workflow
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-07-01
    Named in .Rbuildignore: .claude
  • GitHub Copilotfirst seen 2026-07-15
    Pull request: opened by its own account
    Commits: 2 by its own account
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
41 external dependencies (excludes base and recommended)

Installing tidysdm adds 126 packages (58 with compiled code, 120 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (3)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (6)
Author, Maintainer since 0.9.2 (2023)
Author · added in 1.0.0
Author · added in 1.0.0
Contributor · added in 1.0.0
Listed in earlier versions (1)
no longer listed · 0.9.5
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.4Latest
    record
    2025-12-13 · current release · diff ↗ ·
    added 1 export
    collect_class_thresh
  • 1.0.3
    record
    2025-09-05 · diff ↗
  • 1.0.2
    record
    2025-08-22 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0
    record
    2025-03-05 · diff ↗ ·
    added 1 export
    make_mask_from_presence
  • 0.9.5
    record
    2024-06-23 · diff ↗ ·
    removed 1 export
    filter_high_cor_algorithm
    added 6 exports
    clamp_predictors, extrapol_mess, filter_collinear, niche_overlap, sample_background, sample_background_time
  • R
    R 4.4.0 released · 2024-04-24
  • 0.9.4
    record
    2024-03-05 · diff ↗
  • 0.9.3
    record
    2024-01-17 · diff ↗
  • 0.9.2
    record
    2023-11-13
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-11-13
Total releases
8 / 3 yrs
License
AGPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
1.5 MB / 5 files
Download size
3.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tidysdm")
Manica, A., Colucci, M., Leonardi, M., Pozzi, A. V., Scerri, E. M. L., & Tupper, B. (2025). tidysdm: Species Distribution Models with Tidymodels (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.tidysdm

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 tidysdm version 1.0.4 [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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