========
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
=============
See https://github.com/fredrikw/python-nipals/blob/master/docs/nipals_demo_iris.ipynb
for an example and the tests at https://github.com/fredrikw/python-nipals/tree/master/tests.
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
=========
0.5.8 (2024-06-20)
------------------
* Fix linewidth attributes on plots to allow saving the plots
0.5.6 (2023-10-20)
------------------
* Updated supported Python versions
0.5.5 (2022-09-28)
------------------
* Added check for X-matrix with row full of NAs
0.5.4 (2021-05-07)
------------------
* Fixed Packaging error (0.5.3 was never released)
0.5.3 (2021-05-06)
------------------
* Fixed error on numpy version >= 1.19
* Updated supported versions
* Moved CI to Github Action (pt 1)
0.5.2 (2019-06-04)
------------------
* Added compatibility with Nipals objects saved from pre-0.5 versions
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.
Raw data
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