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)AHPGaussian_0.1.3.zip(r-4.6)AHPGaussian_0.1.3.zip(r-4.5)
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✨
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 566 downloads 2 exports 29 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK178
linux-release-x86_64OK163
macos-release-arm64OK139
macos-oldrel-arm64OK155
windows-develOK84
windows-releaseOK102
windows-oldrelOK76
wasm-releaseOK108

Exports:%>%ahpgaussian

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr