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- OApackage (Orthogonal Array Package)
On the recordRead 9 Oct 202625 facts
OApackage (Orthogonal Array Package)
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OApackage
Free
BSD-style licensed package · requires Python and dependencies
Read 9 Oct 2026 · oapackage.readthedocs.io
On the record
- Analysis
- It calculates structural and statistical properties including array rank, generalized wordlength pattern, F-values, J-characteristics, and design efficiencies.oapackage.readthedocs.io · read 9 Oct 2026
- Array analysis
- For orthogonal arrays, it can calculate generalized word length patterns, F-vectors, and J-characteristics.oapackage.readthedocs.io · read 9 Oct 2026
- Bayesian analysis
- Nooapackage.readthedocs.io · read 23 Sep 2026
- Data handling
- Arrays can be stored in readable text or binary formats, and most tools transparently read compressed binary array files; writing compressed files is not supported.github.com · read 9 Oct 2026
- Data import formats
- .oa text and binary array files; gzip-compressed files supportedoapackage.readthedocs.io · read 23 Sep 2026
- D-efficient designs
- The coordinate-exchange algorithm generates designs that optimize D-efficiency, but the documentation says there is no guarantee they have the largest possible D-efficiency.oapackage.readthedocs.io · read 9 Oct 2026
- Dependencies
- PyPI specifies Python 3.10 or newer and lists NumPy, python-dateutil, and Matplotlib as dependencies.pypi.org · read 9 Oct 2026
- Deployment
- desktopoapackage.readthedocs.io · read 23 Sep 2026
- Generation
- It uses exhaustive enumeration and optimization algorithms to generate arrays and designs.oapackage.readthedocs.io · read 9 Oct 2026
- Installation
- The Python interface can be installed with pip, and the command-line tools and C++ library can be built with CMake.oapackage.readthedocs.io · read 9 Oct 2026
- Intended audience
- PyPI classifies the project for science and research audiences.pypi.org · read 9 Oct 2026
- Interfaces
- The package provides C++ and Python interfaces, command-line tools, and a Matlab interface for generating optimal designs.oapackage.readthedocs.io · read 9 Oct 2026
- License
- The package is distributed under a BSD-style license; PyPI identifies the license as BSD-3-Clause.pypi.org · read 9 Oct 2026
- Maintainer
- PyPI names Pieter Eendebak as the author and lists the account eendebakpt as the maintainer.pypi.org · read 9 Oct 2026
- Normal forms
- The package includes functionality for reducing arrays to normal form and testing isomorphism.github.com · read 9 Oct 2026
- Optimal designs
- Its coordinate-exchange algorithm generates D-efficient designs and can optimize weighted combinations of D-, Ds-, and D1-efficiency criteria.oapackage.readthedocs.io · read 9 Oct 2026
- Purpose
- OApackage generates and analyses orthogonal arrays, optimal designs, and conference designs.oapackage.readthedocs.io · read 9 Oct 2026
- Regression models
- Nooapackage.readthedocs.io · read 23 Sep 2026
