Welcome to HierarchiaPy’s documentation!

HierarchiaPy is an optimized statistical package for hierarchy/dominance analysis methds. It is purely written in Python and mainly built on Pandas and NumPy. Interarction data can be parsed both from Pandas DataFrame and 2D Numpy array. The methods are implemented based on the original published papers and tests module designed to cross-check the results with the examples from the reference papers.

Note

This project is under active development

Contents

• Introduction
• Quick Start
  • Installation
  • Hierarchia Class
    • Examples: Pandas DataFrame Initialization
    • Examples: 2D NumPy (Matrix) Initialization
  • Basic Usage
• Methods
  • Average Dominance Index (ADI)
    • average_dominance_index()
  • David’s Scores
    • davids_score()
  • ELO Rating
    • elo()
  • Randomized ELO Rating
    • randomized_elo()
  • I&SI (1998)
    • ISI98()
  • ADAGIO
    • adagio()
• Metrics
  • Directional consistency index (DCI)
    • dci()
  • Landau h & h’
    • landau_h()
  • Circular dyads (d) & Kendall K
    • kendall_k()
  • Steepness measure
    • get_steepness()
  • Steepness test
    • steepness_test()
• Utilities
  • Dij Matrix
    • get_Dij()
  • Directed Network Plot (Planar Layout)
    • directed_network_graph()