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)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hierarch-0.1.1.tar.gz
(7.9 kB
view hashes)