easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
When building statistical models, it's crucial to assess how well your model explains the data. This tool helps you quickly get a comprehensive overview of your model's quality by taking your statistical model (like a regression or mixed-effects model) and providing key fit indices such as R-squared and Intraclass Correlation Coefficient (ICC), along with diagnostic checks for issues like overdispersion. It's designed for researchers, data analysts, and scientists who use R for statistical modeling and need to rigorously evaluate their models.
1,133 stars.
Use this if you are building statistical models in R and need a consistent, straightforward way to assess their quality and diagnose common problems like overdispersion or zero-inflation.
Not ideal if you primarily work with machine learning models that are not focused on statistical inference or if your models are built outside of R.
Stars
1,133
Forks
104
Language
R
License
GPL-3.0
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/easystats/performance"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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