easystats/performance

Provides a unified interface for computing goodness-of-fit metrics across diverse model types (linear, mixed, Bayesian, count models) through generic functions like `r2()` and `icc()`, eliminating the need to search multiple packages. Beyond metrics, includes diagnostic checks for model assumptions—overdispersion, zero-inflation, convergence, and singularity—enabling comprehensive model validation in a single workflow. Integrates deeply with the R modeling ecosystem (lme4, brms, rstanarm, glmmTMB) and connects with the broader easystats framework for streamlined statistical analysis.

1,133 stars.