Metadata-Version: 2.1
Name: recombinator
Version: 0.0.1
Summary: Recombinator - Statistical Resampling in Python
Home-page: https://github.com/michaelnowotny/recombinator
Author: Michael Christoph Nowotny
Author-email: nowotnym@gmail.com
License: MIT
Description: 
        # Recombinator - Statistical Resampling in Python
        
        
        ## Overview
        
        Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bootstrap, as well as optimal block-length selection. 
        
        ## Algorithms
        
        *   I.I.D. bootstrap: Standard i.i.d. bootstrap for one-dimensional and multi-dimensional data, balanced bootstrap, anthithetic bootstrap  
        *   Block based bootstrap: Moving Block Bootstrap, Circular Block Bootstrap, Stationary Bootstrap, Tapered Block-Bootstrap 
        *   Optimal block-length selection algorithm for Circular Block Bootstrap and Stationary Bootstrap
        
        ## Table of Contents
        
        1.  [Installation](#installation)
        2.  [Getting Started](#getting-started)
        
        
        ## Installation
        ### Latest Release
        <pre>
            pip install recombinator
        </pre>
        or 
        <pre>
            pip3 install recombinator
        </pre>
        if not using Anaconda.
        
        To get the latest version, clone the repository from github, 
        open a terminal/command prompt, navigate to the root folder and install via
        <pre>
            pip install .
        </pre>
        or 
        <pre>
            pip3 install . 
        </pre>
        if not using Anaconda.
        
        ### Most Recent Version on GitHub
        1. Clone the github repository via
        
        <pre>
            git clone https://github.com/InvestmentSystems/recombinator.git
        </pre>
            
        2. Navigate to the recombinator base directory and run
        <pre>
            pip install .
        </pre> 
            
        ## Getting Started
        Please see the Jupyter notebooks 'notebooks/Block Bootstrap.ipynb' and 'notebooks/IID Bootstrap.ipynb' for examples.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
