hierarch 0.1.3

Hierarchical hypothesis testing library

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hierarch

A Hierarchical Resampling Package for Python

Version 0.1.3

hierarch is a package for hierarchical resampling (bootstrapping, permutation, jackknifing) datasets in Python. Because for loops are ultimately intrinsic 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)

Installation

The easiest way to install hierarch is via PyPi.

pip install hierarch

Alternatively, you can install from Anaconda.

conda install -c rkulk111 hierarch

Documentation

There will someday be documentation to walk users through setting up and performing a hypothesis test.

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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 intrinsic 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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