
ggstatsplot
CreatorEnhancing {ggplot2} plots with statistical analysis
R and Python packages for data analysis, visualisation, statistical reporting, and developer tooling, with 65.8M+ 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 2 July 2026.