Package: SFOCDs 1.2.0
SFOCDs: Space Filling Optimal Covariate Designs
We have designed this package to address experimental scenarios involving multiple covariates. It focuses on construction of Optimal Covariate Designs (OCDs), checking space filling property of the developed design. The primary objective of the package is to generate OCDs using four methods viz., M array method, Juxtapose method, Orthogonal Integer Array and Hadamard method. The package also evaluates space filling properties of both the base design and OCDs using the MaxPro criterion, providing a meaningful basis for comparison. In addition, it includes tool to visualize the spread offered by the design points in the form of scatterplot, which help users to assess distribution and coverage of design points.
Authors:
SFOCDs_1.2.0.tar.gz
SFOCDs_1.2.0.zip(r-4.7)SFOCDs_1.2.0.zip(r-4.6)SFOCDs_1.2.0.zip(r-4.5)
SFOCDs_1.2.0.tgz(r-4.6-any)SFOCDs_1.2.0.tgz(r-4.5-any)
SFOCDs_1.2.0.tar.gz(r-4.7-any)SFOCDs_1.2.0.tar.gz(r-4.6-any)
SFOCDs_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SFOCDs/json (API)
| # Install 'SFOCDs' in R: |
| install.packages('SFOCDs', repos = c('https://ashutoshdalal97.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e9816a05eb. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 97 | ||
| source / vignettes | OK | 137 | ||
| linux-release-x86_64 | OK | 103 | ||
| macos-release-arm64 | OK | 116 | ||
| macos-oldrel-arm64 | OK | 63 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 66 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 80 |
Exports:HadamardOCDsJuxtaOCDsMaxDotMaxpro_CriterionMOCDsOIAOCDsreshuffle_des
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Hadamard Method for Optimal Covariate Designs (OCDs) | HadamardOCDs |
| Juxtaposed Method for Optimal Covariate Designs (OCDs) | JuxtaOCDs |
| Treatment Position Vs Treatment Scatter Plot | MaxDot |
| Maxpro Criterion for Treatment vs Position | Maxpro_Criterion |
| M Array Method for Optimal Covariate Designs (OCDs) | MOCDs |
| Orthogonal Integer Array Method for Optimal Covariate Designs (OCDs) | OIAOCDs |
| Reshuffle Design | reshuffle_des |
