Metadata-Version: 2.1
Name: boostsa
Version: 0.1.0
Summary: A package to compute bootstrap sampling significance test
Home-page: https://github.com/fornaciari/bootstrap
Author: Tommaso Fornaciari
Author-email: fornaciari@unibocconi.it
License: MIT license
Description: BooStSa - BOOtSTrap SAmpling in pyhton
        ======================================
        
        
        
        .. image:: https://img.shields.io/github/license/fornaciari/boostsa
                :target: https://lbesson.mit-license.org/
                :alt: License
        
        This is a tool to compute bootstrap sampling significance test, 
        even in the pipeline of a complex experimental design.
        
        
        
        
        
        
        
        
        
        
        For the theoretical aspects of Bootstrap sampling, please refer to the paper:
        
         Søgaard, A., Johannsen, A., Plank, B., Hovy, D., & Alonso, H. M. (2014, June). 
         *What’s in a p-value in NLP?*. 
         In Proceedings of the eighteenth conference on computational natural language learning (pp. 1-10).
        
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires-Python: >=3.6
Description-Content-Type: text/markdown
