OApackage (Orthogonal Array Package)
The facts below are what the maker publishes about OApackage (Orthogonal Array Package), checked and dated. Our editors have not written about it yet.
Plans and prices
From OApackage (Orthogonal Array Package)'s own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| OApackage | Free | BSD-style licensed package · requires Python and dependencies |
The facts
Each one read from OApackage (Orthogonal Array Package)'s own pages, with the date it was checked.
What it does
- Analysis
- It calculates structural and statistical properties including array rank, generalized wordlength pattern, F-values, J-characteristics, and design efficiencies.checked 9 Oct 2026
- Array analysis
- For orthogonal arrays, it can calculate generalized word length patterns, F-vectors, and J-characteristics.checked 9 Oct 2026
- Bayesian analysis
- Nochecked 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.checked 9 Oct 2026
- Data import formats
- .oa text and binary array files; gzip-compressed files supportedchecked 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.checked 9 Oct 2026
- Dependencies
- PyPI specifies Python 3.10 or newer and lists NumPy, python-dateutil, and Matplotlib as dependencies.checked 9 Oct 2026
- Deployment
- desktopchecked 23 Sep 2026
- Generation
- It uses exhaustive enumeration and optimization algorithms to generate arrays and designs.checked 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.checked 9 Oct 2026
- Intended audience
- PyPI classifies the project for science and research audiences.checked 9 Oct 2026
- Interfaces
- The package provides C++ and Python interfaces, command-line tools, and a Matlab interface for generating optimal designs.checked 9 Oct 2026
- License
- The code is available under a BSD-style license.checked 9 Oct 2026
- Maintainer
- PyPI names Pieter Eendebak as the author and lists the account eendebakpt as the maintainer.checked 9 Oct 2026
- Normal forms
- The package includes functionality for reducing arrays to normal form and testing isomorphism.checked 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.checked 9 Oct 2026
- Purpose
- OApackage generates and analyses orthogonal arrays, optimal designs, and conference designs.checked 9 Oct 2026
- Regression models
- Nochecked 23 Sep 2026
- R interface
- An R interface to the optimal-design functionality is available from CRAN.checked 9 Oct 2026
- Scripting support
- Yeschecked 23 Sep 2026
- Statistical tests
- Nochecked 23 Sep 2026
- Support
- The repository directs users to its CONTRIBUTING.md file for contribution, unit-testing, and support information.checked 9 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
Where it runs
- Platforms
- The documentation says the package is continuously tested on Linux and Windows.checked 9 Oct 2026
