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 454 downloads 2 exports 29 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK158
source / vignettesOK175
linux-releaseOK120
macos-releaseOK162
macos-oldrelOK178
windows-develOK84
windows-releaseOK82
windows-oldrelOK78
wasm-releaseOK86

Exports:%>%ahpgaussian

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr