ggstatsplot
CreatorEnhancing {ggplot2} plots with statistical analysis
Author and maintainer of R and Python packages with 62.1M+ total downloads. From statistical visualisation frameworks used by thousands of researchers to developer tools that help teams write cleaner code, these libraries reflect a core belief: good research software should be as carefully crafted as the research itself.
Enhancing {ggplot2} plots with statistical analysis
Tidy dataframes and expressions with statistical details
Apply functions to all combinations of elements from multiple iterables
Significance brackets for ggplot2
Easy access to model information for various model objects
Easy data preparation and statistical transformations
Static code analysis for R
Non-invasive pretty printing of R code
Assessment, comparison and testing of statistical models
Extracting, computing and exploring model parameters
Understanding and describing Bayesian models and posterior distributions
Indices of effect size and standardized parameters
Methods for correlation analysis
Visualisation toolbox for beautiful and publication-ready figures
Estimation of model-based predictions, contrasts and means
Automated reporting of results and statistical models
A unified framework for easy statistical modeling, visualization, and reporting
Download counts from CRAN and PyPI, last updated March 28, 2026.