easystats/easystats

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1161 stars · 88 forks observed · 2026-10-13

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

easystats is a collection of R packages providing a unifying, consistent framework for statistical modeling, visualization, and reporting. It offers a cohesive ecosystem with shared syntax covering data exploration, model fitting, diagnostics, interpretation, and result communication.

Use cases

• run statistical analyses in R with consistent syntax
• diagnose and check regression model performance
• visualize statistical model results
• interpret model coefficients and effects
• build reproducible statistical reporting workflows
• extract and standardize model information across R model classes

When to choose

• you do statistical modeling in R and want a unified, beginner-friendly ecosystem
• you need consistent diagnostics, visualization, and reporting across many model types
• you want lightweight modular packages to integrate into other R tooling

When to avoid

• you need machine learning pipelines rather than statistical modeling
• you work outside R
• you need specialized Bayesian or bespoke analysis not covered by the ecosystem

Facets

framework · maturity active

data-science data-visualization math data-science data-visualization developer-tools cross-platform rstats statistics regression-models model-diagnostics meta-package cran r

Member repositories

For agents

markdown · JSON · MCP: product_card(name="easystats/easystats")