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SRCS: Statistical Ranking Color Scheme for Multiple Pairwise Comparisons

Implementation of the SRCS method for a color-based visualization of the results of multiple pairwise tests on a large number of problem configurations, proposed in: I.G. del Amo, D.A. Pelta. SRCS: a technique for comparing multiple algorithms under several factors in dynamic optimization problems. In: E. Alba, A. Nakib, P. Siarry (Eds.), Metaheuristics for Dynamic Optimization. Series: Studies in Computational Intelligence 433, Springer, Berlin/Heidelberg, 2012.

Version: 1.1
Imports: parallel, graphics, stats, grDevices, methods
Suggests: R.rsp
Published: 2015-07-02
DOI: 10.32614/CRAN.package.SRCS
Author: Pablo J. Villacorta
Maintainer: Pablo J. Villacorta <pjvi at decsai.ugr.es>
License: LGPL (≥ 3)
URL: http://decsai.ugr.es/~pjvi/r-packages.html
NeedsCompilation: no
CRAN checks: SRCS results

Documentation:

Reference manual: SRCS.pdf
Vignettes: SRCS: Statistical Ranking Color Scheme for Multiple Pairwise Comparisons

Downloads:

Package source: SRCS_1.1.tar.gz
Windows binaries: r-devel: SRCS_1.1.zip, r-release: SRCS_1.1.zip, r-oldrel: SRCS_1.1.zip
macOS binaries: r-release (arm64): SRCS_1.1.tgz, r-oldrel (arm64): SRCS_1.1.tgz, r-release (x86_64): SRCS_1.1.tgz, r-oldrel (x86_64): SRCS_1.1.tgz
Old sources: SRCS archive

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.