easystats / performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Why this job: works in the areas we cover, but does not say which job it does
What it does
A crucial aspect when building regression models is to evaluate the quality of modelfit. It is important to investigate how well models fit to the data and which fit indices to report. Functions to create diagnostic plots or to compute fit measures do exist, however, mostly spread over different packages. There is no unique and consistent approach to assess the model quality for different kind of models.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 1,161
- On GitHub
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest version
- v0.19.0
- Released 25 days ago
- Built with
- R
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 86% closed
- 74 still open
- Pull requests
- 379 merged
- 5 waiting
- Releases
- 35
- 8 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- R 97%
- TeX 3%
Topics
- r2
- aic
- performance
- models
- loo
- r
- easystats
- mixed-models
- statistics
- hacktoberfest
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits2,601
- Forks109
- Watching22
- Stars in 28 days+3
- CreatedFeb 10, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026