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-4.4-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'))

Peer review:

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

Datasets:

On CRAN:

2.70 score 1 stars 1 scripts 272 downloads 1 exports 11 dependencies

Last updated 1 years agofrom:73623bc163. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:ahpgaussian

Dependencies:cligluelifecyclemagrittrplyrRcppreshape2rlangstringistringrvctrs