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A facility to generate efficient designs for order-of-additions experiments under pair-wise-order model, see Dennis K. J. Lin and Jiayu Peng (2019)."Order-of-addition experiments: A review and some new thoughts". Quality Engineering, 31:1, 49-59, <doi:10.1080/08982112.2018.1548021>. It also provides a facility to generate component orthogonal arrays under component position model, see Jian-Feng Yang, Fasheng Sun & Hongquan Xu (2020): "A Component Position Model, Analysis and Design for Order-of-Addition Experiments". Technometrics, <doi:10.1080/00401706.2020.1764394>.
Version: | 1.0 |
Depends: | R (≥ 4.4.0) |
Imports: | lpSolve, combinat |
Published: | 2024-05-14 |
DOI: | 10.32614/CRAN.package.doofa |
Author: | Baidya Nath Mandal [aut, cre], Rajender Parsad [aut], Sukanta Dash [aut] |
Maintainer: | Baidya Nath Mandal <mandal.stat at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | doofa results |
Reference manual: | doofa.pdf |
Package source: | doofa_1.0.tar.gz |
Windows binaries: | r-devel: doofa_1.0.zip, r-release: doofa_1.0.zip, r-oldrel: not available |
macOS binaries: | r-release (arm64): doofa_1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): doofa_1.0.tgz, r-oldrel (x86_64): not available |
Reverse imports: | mixOofA |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.