Package: AHPWR 0.1.0

AHPWR: Compute Analytic Hierarchy Process

Compute a tree level hierarchy, judgment matrix, consistency index and ratio, priority vectors, hierarchic synthesis and rank. Based on the book entitled "Models, Methods, Concepts and Applications of the Analytic Hierarchy Process" by Saaty and Vargas (2012, ISBN 978-1-4614-3597-6).

Authors:Luciane Ferreira Alcoforado [aut, cre], Lyncoln Sousa [aut], Orlando Celso Longo [aut], Alessandra Simão [ctb], Steven Dutt Ross [ctb], Leonardo Filgueira [ctb]

AHPWR_0.1.0.tar.gz
AHPWR_0.1.0.zip(r-4.5)AHPWR_0.1.0.zip(r-4.4)AHPWR_0.1.0.zip(r-4.3)
AHPWR_0.1.0.tgz(r-4.5-any)AHPWR_0.1.0.tgz(r-4.4-any)AHPWR_0.1.0.tgz(r-4.3-any)
AHPWR_0.1.0.tar.gz(r-4.5-noble)AHPWR_0.1.0.tar.gz(r-4.4-noble)
AHPWR_0.1.0.tgz(r-4.4-emscripten)AHPWR_0.1.0.tgz(r-4.3-emscripten)
AHPWR.pdf |AHPWR.html✨
AHPWR/json (API)

# Install 'AHPWR' in R:
install.packages('AHPWR', repos = c('https://lucianea.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openjdk

2.00 score 3 scripts 297 downloads 19 exports 70 dependencies

Last updated 2 years agofrom:cfe1834bcf. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 08 2025
R-4.5-winOKFeb 08 2025
R-4.5-macOKFeb 08 2025
R-4.5-linuxOKFeb 08 2025
R-4.4-winOKFeb 09 2025
R-4.4-macOKFeb 08 2025
R-4.3-winOKFeb 08 2025
R-4.3-macOKFeb 08 2025

Exports:%>%ahpahp_geralahp_sautoVetorcalcula_prioridadesCICRflow_chartformata_tabelaformata_tabela2lermatrix_ahpmatriz_julgamentonormalizaranquetabela_holisticatransforma_tabelaxlsx_ahp

Dependencies:base64encbslibcachemcellrangerclicolorspacecpp11crayondigestdplyrevaluatefansifarverfastmapfontawesomeformattablefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadxlrematchrJavarlangrmarkdownsassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxlsxxlsxjarsyaml

Introduction to AHPWR package

Luciane Ferreira Alcoforado and Orlando Celso Longo

Rendered fromIntro_to_AHP.Rmdusingknitr::rmarkdownon Feb 08 2025.

Last update: 2022-12-06
Started: 2022-12-06