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SRCS  

Statistical Ranking Color Scheme for Multiple Pairwise Comparisons
View on CRAN: Click here


Download and install SRCS package within the R console
Install from CRAN:
install.packages("SRCS")

Install from Github:
library("remotes")
install_github("cran/SRCS")

Install by package version:
library("remotes")
install_version("SRCS", "1.1")



Attach the package and use:
library("SRCS")
Maintained by
Pablo J. Villacorta
[Scholar Profile | Author Map]
First Published: 2015-01-01
Latest Update: 2015-07-02
Description:
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.
How to cite:
Pablo J. Villacorta (2015). SRCS: Statistical Ranking Color Scheme for Multiple Pairwise Comparisons. R package version 1.1, https://cran.r-project.org/web/packages/SRCS. Accessed 20 Apr. 2025.
Previous versions and publish date:
1.0 (2015-01-01 21:29)
Other packages that cited SRCS R package
View SRCS citation profile
Other R packages that SRCS depends, imports, suggests or enhances
Complete documentation for SRCS
Functions, R codes and Examples using the SRCS R package
Some associated functions: ML1 . MPB . MPBall . SRCS . SRCScomparison . SRCSranks . plot.SRCS . 
Some associated R codes: SRCS-package.R . check-params.R . core.R . graphics-config.R . graphics.R . rank.R .  Full SRCS package functions and examples
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