Home
Data Analysis using
Bootstrap-Coupled ESTimation
Analyze your data with effect sizes and beautiful estimation plots.
Robust and Beautiful
Statistical Visualization
Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one’s experiment/intervention, as opposed to a false dichotomy engendered by P values.
Beautiful technical documentation and scientific articles with Quarto
Out-of-the-box continuous integration with GitHub Actions
Publish code to PyPI and conda, and prose to GitHub Pages
Estimation plots are robust, beautiful, and convey important statistical information elegantly and efficiently.
Write prose, code, and tests in notebooks
Git-friendly notebooks: human-readable merge conflicts