Species Distribution Models with Tidymodels
Overview
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.
- improve documentation of
calib_class_thresholdand implementcollect_calib_thresh - update saved objects to the new version of
xgboost
From NEWS.md in the release
Install
Health
- 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
Documentation
- 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
Repository
- 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
Forks over time
Releases over time
Issues over time
PRs over time
Commits over time
Commit identities over time
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.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-07-15 · The repository has a site deploy workflow
pkgdown site last built 2025-12-14
Show all practicesHide 3 practices
This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-07-01Named in .Rbuildignore: .claude
- GitHub Copilotfirst seen 2026-07-15Pull request: opened by its own accountCommits: 2 by its own account
Dependencies
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.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.4Latest
- 1.0.32025-09-05 · diff ↗
- 1.0.22025-08-22 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.0.0
- 0.9.52024-06-23 · diff ↗ ·
removed 1 export
filter_high_cor_algorithmadded 6 exports
clamp_predictors, extrapol_mess, filter_collinear, niche_overlap, sample_background, sample_background_time - RR 4.4.0 released · 2024-04-24
- 0.9.42024-03-05 · diff ↗
- 0.9.32024-01-17 · diff ↗
- 0.9.22023-11-13
- RR 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")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.
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.