Metadata-Version: 2.1
Name: resample
Version: 0.1.3
Summary: Tools for randomization-based inference in Python
Home-page: http://github.com/dsaxton/resample
Author: Daniel Saxton
Author-email: daniel.saxton@gmail.com
License: BSD-3-Clause
Description: # resample
        
        Description
        --------
        
        `resample` provides a set of tools for performing nonparametric statistical inference in Python, primarily through the use of randomization tests and bootstrapping methods.  See the [example notebook](https://github.com/dsaxton/resample/blob/master/doc/resample.ipynb) for a brief tutorial.
        
        Features
        --------
        
        * Bootstrap samples (ordinary or balanced, both with optional stratification) of arrays with arbitrary dimension 
        * Bootstrap confidence intervals (percentile, BCA and Studentized) for any well-defined parameter
        * Randomization-based variants of traditional statistical tests (t-test, ANOVA F-test, K-S test, etc.)
        * Tools for working with empirical distributions (empirical cumulative distribution and quantile functions, distance metrics for comparing distributions)
        
        Dependencies
        ------------
        
        Installation requires [numpy](http://www.numpy.org/) and [scipy](https://www.scipy.org/).
        
        Installation
        ------------
        
        The latest release can be installed from PyPI:
        
            pip install resample
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
