semvec/pypi-packages huggingface dataset:
mqrpy 0.6.5
Design and manufacturing quality improvement toolkit
Requires Python: >=3.11
Keywords: quality, manufacturing, six sigma, dmaic, design of experiments, anova, grr, msa, statistical quality control, sqc, statistical process control, spc, robust design, response surface design

MQR
---
This library is a python toolkit for manufacturing and design statistics.

Installation
------------
`pip install mqrpy`

Import the package using:<br>
`import mqr`

Documentation
-------------
The documentation, including a user guide and API reference is at https://nklsxn.github.io/mqr/latest/.

A set of detailed examples is available in the repository https://github.com/nklsxn/mqrpy-guide.

To build the documentation, further packages are needed that are not included with the pip installation:<br>
`sphinx`, `sphinx_rtd_theme`, `numpydoc`, `myst_nb`, and `pydata_sphinx_theme`.

License
-------
This package is provided under the BSD License (3-clause).

Credit
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Copyright 2024-2025 Nikolas Crossan and Kevin Otto

Supported by the University of Melbourne<br>
Department of Mechanical Engineering