Model Evaluation and Analysis
Overview
Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) doi:10.1111/ddi.12100.
(Committed 2026-09-25)
Modified functions:
- varImp
- fix bugs when horiz = TRUE
- predPlot, predDensity, varImp
- semi-transparent legend background, in case of overlap
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-24
- WARNING12 OK, 1 WARNING2026-09-11
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK, 1 FAILURE2026-06-08
Show 2 earlier changesHide 2 earlier changes
- WARNING12 OK, 1 WARNING2026-06-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 45includes a package overview page
- Examples that run
- 89%39 run in a plain check · 3 never run · 2 hold no code
- Exported functions with examples
- 98%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 67%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 172
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Issues over time
Commits over time
2 development-tooling and community-health practices detected across 1 family in the upstream repository
Checks run against github.com/ambarbosa/modeva on 2026-10-11.
Funding links: GitHub Sponsors
The repository owner accepts GitHub Sponsors
Dependencies
Installing modEvA adds 8 packages (2 with compiled code, 8.4 MB of source tarballs). Heaviest: Rcpp 1.8 MB, performance 1.8 MB, terra 1.5 MB.
Code & Tests
Datasets
People & History
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Pick two releases to compare their code metrics.
- 3.47Latest
- 3.462026-08-28 · diff ↗
- 3.452026-05-21 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 3.412026-01-09 · diff ↗
- 3.402025-09-20 · diff ↗
- 3.392025-07-18 · diff ↗
- 3.342025-04-29 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.332025-03-20 · diff ↗
- 3.302025-02-21 · diff ↗
- 3.292025-02-17 · diff ↗
- 3.232024-11-24 · diff ↗
- 3.202024-10-30 · diff ↗
- 3.18.22024-08-28 · diff ↗
- 3.172024-06-06 · diff ↗
Show 19 earlier eventsHide 19 earlier events
- RR 4.4.0 released · 2024-04-24
- 3.13.32024-01-19 · diff ↗
- 3.112023-11-25 · diff ↗
- 3.102023-11-12 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 3.9.32023-04-15 · diff ↗
- 3.92023-01-13 · diff ↗
- 3.8.42022-10-30 · diff ↗
- 3.52022-06-01 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 3.02021-12-20 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 2.02020-01-21 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.3.22016-07-15
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-07-15
- Total releases
- 24 / 10 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 781 KB / 1 file
- Download size
- 896 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("modEvA")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.