Package: AHPGaussian 0.1.3

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>.

Authors:Cid Edson Povoas [aut, cre], Marcos dos Santos [aut]

AHPGaussian_0.1.3.tar.gz
AHPGaussian_0.1.3.zip(r-4.7-any)AHPGaussian_0.1.3.zip(r-4.6-any)AHPGaussian_0.1.3.zip(r-4.5-any)
AHPGaussian_0.1.3.tgz(r-4.6-any)AHPGaussian_0.1.3.tgz(r-4.5-any)
AHPGaussian_0.1.3.tar.gz(r-4.7-any)AHPGaussian_0.1.3.tar.gz(r-4.6-any)
AHPGaussian_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AHPGaussian/json (API)

# Install 'AHPGaussian' in R:
install.packages('AHPGaussian', repos = c('https://cidedson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cidedson/ahpgaussian/issues

Pkgdown/docs site:https://cidedson.github.io

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 2 scripts 529 downloads 2 exports 29 dependencies

Last updated from:b8c5e7de75. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK147
source / vignettesOK198
linux-release-x86_64OK139
macos-release-arm64OK232
macos-oldrel-arm64OK133
windows-develOK106
windows-releaseOK94
windows-oldrelOK92
wasm-releaseOK112

Exports:%>%ahpgaussian

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr