Metadata-Version: 2.1
Name: hierarch
Version: 0.1.3
Summary: Hierarchical hypothesis testing library
Home-page: https://github.com/rishi-kulkarni/hierarch
Author: Rishi Kulkarni
Author-email: rkulk@stanford.edu
License: UNKNOWN
Description: <<<<<<< HEAD
        # 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.
        
        
        =======
        # 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)
        
        >>>>>>> cdde8466095c8045aa441e136d1ba56fd0326e9d
        
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
