Package: AHPGaussian 0.1.2

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_0.1.2.tar.gz
AHPGaussian_0.1.2.zip(r-4.5)AHPGaussian_0.1.2.zip(r-4.4)AHPGaussian_0.1.2.zip(r-4.3)
AHPGaussian_0.1.2.tgz(r-4.5-any)AHPGaussian_0.1.2.tgz(r-4.4-any)AHPGaussian_0.1.2.tgz(r-4.3-any)
AHPGaussian_0.1.2.tar.gz(r-4.5-noble)AHPGaussian_0.1.2.tar.gz(r-4.4-noble)
AHPGaussian_0.1.2.tgz(r-4.4-emscripten)AHPGaussian_0.1.2.tgz(r-4.3-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 site:https://cidedson.github.io

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 1 scripts 301 downloads 1 exports 11 dependencies

Last updated 2 years agofrom:73623bc163. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:ahpgaussian

Dependencies:cligluelifecyclemagrittrplyrRcppreshape2rlangstringistringrvctrs