Metadata-Version: 1.2
Name: hoggorm
Version: 0.11.3
Summary: Package for explorative multivariate statistics
Home-page: https://github.com/olivertomic/hoggorm
Author: Oliver Tomic
Author-email: oliver.tomic@nmbu.no
License: BSD License
Download-URL: https://pypi.python.org/pypi/hoggorm
Description-Content-Type: UNKNOWN
Description: Hoggorm
        =======
        
        Hoggorm is a Python package for explorative multivariate statistics in Python. It contains 
        
        * PCA (principal component analysis)
        * PCR (principal component regression)
        * PLSR (partial least squares regression)
          
          - PLSR1 for single variable responses
          - PLSR2 for multivariate responses
        * matrix corrlation coefficients RV, RV2 and SMI.
        
        Unlike `scikit-learn`_, whis is an excellent python machine learning package focusing on classification and predicition, Hoggorm rather aims at understanding and interpretation of the variance in the data. Hoggorm also also contains tools for prediction.
        
        .. _scikit-learn: http://scikit-learn.org/stable/
        
        Requirements
        ------------
        Make sure that Python 3.5 or higher is installed. A convenient way to install Python and many useful packages for scientific computing is to use the `Anaconda distribution`_.
        
        .. _Anaconda distribution: https://www.anaconda.com/download/
        
        - numpy
        
        
        Installation
        ------------
        
        Install Hoggorm easily from the command line from the `PyPI - the Python Packaging Index`_. 
        
        .. _PyPI - the Python Packaging Index: https://pypi.python.org/pypi
        
        .. code-block:: bash
        
        	pip install hoggorm
        
        
        Documentation
        -------------
        
        - Documentation at `Read the Docs`_
        - Jupyter notebooks with `examples`_ of how to use Hoggorm together with the plotting package `HoggormPlot`_.
          
          
        .. _Read the Docs: http://hoggorm.readthedocs.io/en/latest
        .. _examples: https://github.com/khliland/hoggormExamples
        .. _HoggormPlot: https://github.com/olivertomic/hoggormPlot
        
Keywords: statistic,education,science
Platform: any
Classifier: Natural Language :: English
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: 
> 2.6
