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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.

Version: 1.0.0
Published: 2025-12-04
DOI: 10.32614/CRAN.package.SFOCDs
Author: Neethu RS [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Ashutosh Dalal [aut, ctb, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SFOCDs results

Documentation:

Reference manual: SFOCDs.html , SFOCDs.pdf

Downloads:

Package source: SFOCDs_1.0.0.tar.gz
Windows binaries: r-devel: SFOCDs_1.0.0.zip, r-release: SFOCDs_1.0.0.zip, r-oldrel: SFOCDs_1.0.0.zip
macOS binaries: r-release (arm64): SFOCDs_1.0.0.tgz, r-oldrel (arm64): SFOCDs_1.0.0.tgz, r-release (x86_64): SFOCDs_1.0.0.tgz, r-oldrel (x86_64): SFOCDs_1.0.0.tgz

Linking:

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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.