Critical difference diagrams in Julia

This package generates Tikz code for publication-ready vector graphics.

Critical difference (CD) diagrams are a powerful tool to compare outcomes of multiple treatments over multiple observations. For instance, in machine learning research we often compare the performance (= outcome) of multiple methods (= treatments) over multiple data sets (= observations). A wrapper for Python is also available.

Regular CD diagrams: indistinguishable methods are connected.

2D sequences: sequences of multiple CD diagrams can be arranged in a single 2-dimensional axis.

For more information, please refer to the documentation.