Hierarchical hypothesis testing library
Project description
hierarch
A Hierarchical Resampling Package for Python
Version 0.1.2
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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