Metadata-Version: 2.1
Name: hierarch
Version: 0.1.2
Summary: Hierarchical hypothesis testing library
Home-page: https://github.com/rishi-kulkarni/Hierarch
Author: Rishi Kulkarni
Author-email: rkulk@stanford.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: sympy
Requires-Dist: scipy
Requires-Dist: numba

# 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)



