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:

1 exports 1 stars 0.75 score 11 dependencies 1 scripts 302 downloads

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

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winOKSep 11 2024
R-4.5-linuxOKSep 11 2024
R-4.4-winOKSep 11 2024
R-4.4-macOKSep 11 2024
R-4.3-winOKSep 11 2024
R-4.3-macOKSep 11 2024

Exports:ahpgaussian

Dependencies:cligluelifecyclemagrittrplyrRcppreshape2rlangstringistringrvctrs