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-4.6-any)AHPGaussian_0.1.3.tar.gz(r-4.5-any)
AHPGaussian_0.1.3.tgz(r-4.5-emscripten)
AHPGaussian.pdf |AHPGaussian.html✨
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 680 downloads 2 exports 29 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK166
linux-release-x86_64OK136
macos-release-arm64OK150
macos-oldrel-arm64OK189
windows-develOK99
windows-releaseOK100
windows-oldrelOK96
wasm-releaseOK110

Exports:%>%ahpgaussian

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr