Piikun

Piikun analyzes and visualizes species delimitation models using information theoretic frameworks.

Key Features:

• Variation of Information Calculation: Piikun calculates the Variation of Information (VI) criterion, a true metric or distance function for species delimitation models.
• Information Theoretic Measures: Piikun provides classic measures of information including entropy and mutual information.
• Lattice-Aligned Comparison: Piikun enables comparison of models in terms of relative clustering differences along a lattice of partitions.

Scientific Applications:

• Species Delimitation Model Comparison: Piikun supports quantitative comparison of species delimitation models using true metric functions rather than non-metric alternatives.
• Partition Space Visualization: Piikun visualizes species delimitation models within an information theoretic metric space framework.

Methodology:

Piikun implements information theoretic calculations including entropy, mutual information, and the Variation of Information criterion aligned with the lattice of partitions.