Metadata-Version: 1.1
Name: nipals
Version: 0.5.1
Summary: A module for calculation of PCA with the NIPALS algorithm
Home-page: https://github.com/fredrikw/python-nipals
Author: Fredrik Wallner
Author-email: fredrik@wallner.nu
License: MIT license
Description-Content-Type: UNKNOWN
Description: ========
        Overview
        ========
        
        
        
        A module for calculation of PCA and PLS with the NIPALS algorithm. Based on the R packages
        `nipals <https://cran.r-project.org/package=nipals>`_ and
        `pcaMethods <https://doi.org/10.18129/B9.bioc.pcaMethods>`_ as well as the
        statistical appendixes to "Introduction to Multi- and Megavariate Data Analysis
        using Projection Methods (PCA & PLS)" by Eriksson et. al.
        Tested to give same results as the above packages and Simca, with some rounding errors.
        
        
        * Free software: MIT license
        
        Installation
        ============
        
        ::
        
            pip install nipals
        
        Documentation
        =============
        
        https://python-nipals.readthedocs.io/
        
        Development
        ===========
        
        To run the all tests run::
        
            tox
        
        Note, to combine the coverage data from all the tox environments run:
        
        .. list-table::
            :widths: 10 90
            :stub-columns: 1
        
            - - Windows
              - ::
        
                    set PYTEST_ADDOPTS=--cov-append
                    tox
        
            - - Other
              - ::
        
                    PYTEST_ADDOPTS=--cov-append tox
        
        Changelog
        =========
        
        0.5.1 (2019-05-23)
        ------------------
        
        * Added checks for, and optional removal of, zero variance in variables
        * Added support for Python 3.7
        * (0.5.0 was never released due to failing CI tests)
        
        0.4.3 (2018-04-24)
        ------------------
        
        * Fixed test that failed after last bug fix
        
        0.4.2 (2018-04-24)
        ------------------
        
        * Fixed bug with selection of starting column for cross validation of PCA
        
        0.4.1 (2018-04-09)
        ------------------
        
        * Fixed bug with cross validation of PCA
        
        0.4.0 (2018-04-09)
        ------------------
        
        * Added cross validations
        * Added calculation of distance to model with plots
        * Added model overview plots
        
        0.3.0 (2018-04-05)
        ------------------
        
        * Added R2X and R2Y to the PLS class
        * Made plot color selectable also for scoreplots without classes
        
        0.2.0 (2018-03-29)
        ------------------
        
        * Added a PLS class
        * Improved plotting
        * Fixed some problems with missing/infinite values
        
        0.1.0 (2018-03-14)
        ------------------
        
        * First release on PyPI.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Utilities
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
