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Hierarchical hypothesis testing library

Project description

Hierarch

A Hierarchical Resampling Package for Python

Version 0.1

Hierarch is a package for hierarchical resampling (bootstrapping, permutation, jackknifing) datasets in Python. Because for loops are ultimately intrinsinc to cluster-aware resampling, Hierarch uses Numba to accelerate many of its key functions.

Hierarch has several functions for performing resampling-based hypothesis tests on hierarchical data. Additionally, Hierarch can be used to construct power analyses for hierarchical experimental designs.

Dependencies

  • numpy
  • numba
  • scipy (for power analysis)
  • sympy (for jackknifing)

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