The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Third order response surface designs (M. Hemavathi, Shashi Shekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal (2022) <doi:10.1080/03610926.2021.1944213>."Theoretical developments in response surface designs: an informative review and further thoughts") are classified into two types viz., designs which are suitable for sequential experimentation and designs for non-sequential experimentation (M. Hemavathi, Eldho Varghese, Shashi Shekhar & Seema Jaggi (2022)<doi:10.1080/02664763.2020.1864817>." Sequential asymmetric third order rotatable designs (SATORDs)"). The sequential experimentation approach involves conducting the trials step by step whereas, in the non-sequential experimentation approach, the entire runs are executed in one go.This package contains functions named STORDs() and NSTORDs() for generating sequential/non-sequential TORDs given in Das, M. N., and V. L. Narasimham (1962). <doi:10.1214/aoms/1177704374>. "Construction of rotatable designs through balanced incomplete block designs" along with the randomized layout. It also contains another function named Pred3.var() for generating the variance of predicted response as well as the moment matrix based on a third order response surface model.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Published: | 2022-05-31 |
| DOI: | 10.32614/CRAN.package.TORDs |
| Author: | Eldho Varghese [aut, ctb], Ashutosh Dalal [aut, cre], Hemavathi Manivannan [aut, ctb], Seema Jaggi [aut, ctb] |
| Maintainer: | Ashutosh Dalal <ashutosh.dalal97 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | TORDs results |
| Reference manual: | TORDs.pdf |
| Package source: | TORDs_1.0.0.tar.gz |
| Windows binaries: | r-devel: TORDs_1.0.0.zip, r-release: TORDs_1.0.0.zip, r-oldrel: TORDs_1.0.0.zip |
| macOS binaries: | r-release (arm64): TORDs_1.0.0.tgz, r-oldrel (arm64): TORDs_1.0.0.tgz, r-release (x86_64): TORDs_1.0.0.tgz, r-oldrel (x86_64): TORDs_1.0.0.tgz |
| Reverse suggests: | MixedLevelRSDs |
Please use the canonical form https://CRAN.R-project.org/package=TORDs to link to this page.
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.