ggstatsplot
CreatorEnhancing {ggplot2} plots with statistical analysis
R and Python packages for data analysis, visualisation, statistical reporting, and developer tooling, with 63.2M+ total downloads. The goal is practical software: clearer results, reproducible workflows, and code that is easier to maintain.
Many of these packages grew out of methodological needs in my own research. The broader context is summarised in Research, while peer-reviewed software papers are listed under Publications.
Enhancing {ggplot2} plots with statistical analysis
Tidy dataframes and expressions with statistical details
Apply functions to all combinations of elements from multiple iterables
Convert Markdown to LinkedIn-compatible post format
Significance brackets for ggplot2
Easy access to model information for various model objects
Easy data preparation and statistical transformations
Static code analysis for R
Assessment, comparison and testing of statistical models
Non-invasive pretty printing of R code
Extracting, computing and exploring model parameters
Understanding and describing Bayesian models and posterior distributions
Indices of effect size and standardised 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 modelling, visualisation, and reporting
Download counts from CRAN and PyPI, last updated April 27, 2026.