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AHPGaussian: New Multicriteria Method: AHPGaussian

Implements the Analytic Hierarchy Process (AHP) method using Gaussian normalization (AHPGaussian) to derive the relative weights of the criteria and alternatives. It also includes functions for visualizing the results and generating graphical outputs. Method as described in: dos Santos, Marcos (2021) <doi:10.13033/ijahp.v13i1.833>.

Version:0.1.3
Depends:R (≥ 4.0.0)
Imports:dplyr,tidyr,ggplot2,magrittr
Suggests:spelling,testthat (≥ 3.0.0)
Published:2025-09-15
DOI:10.32614/CRAN.package.AHPGaussian
Author:Cid Edson PovoasORCID iD [aut, cre], Marcos dos SantosORCID iD [aut]
Maintainer:Cid Edson Povoas <cidedson at gmail.com>
BugReports:https://github.com/cidedson/ahpgaussian/issues
License:MIT + fileLICENSE
URL:https://cidedson.github.io/ahpgaussian/
NeedsCompilation:no
Language:en-US
Materials:README,ChangeLog
CRAN checks:AHPGaussian results

Documentation:

Reference manual:AHPGaussian.html ,AHPGaussian.pdf

Downloads:

Package source: AHPGaussian_0.1.3.tar.gz
Windows binaries: r-devel:AHPGaussian_0.1.3.zip, r-release:AHPGaussian_0.1.3.zip, r-oldrel:AHPGaussian_0.1.3.zip
macOS binaries: r-release (arm64):AHPGaussian_0.1.3.tgz, r-oldrel (arm64):AHPGaussian_0.1.3.tgz, r-release (x86_64):AHPGaussian_0.1.3.tgz, r-oldrel (x86_64):AHPGaussian_0.1.3.tgz
Old sources: AHPGaussian archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=AHPGaussianto link to this page.


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