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ahpsurvey
View on CRAN: Click
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Download and install ahpsurvey package within the R console
Install from CRAN:
install.packages("ahpsurvey")
Install from Github:
library("remotes")
install_github("cran/ahpsurvey") Install by package version:
library("remotes")
install_version("ahpsurvey", "0.4.1") Attach the package and use:
library("ahpsurvey")
Maintained by
Frankie Cho
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-16
Latest Update: 2019-11-24
Description:
The Analytic Hierarchy Process is a versatile multi-criteria decision-making tool introduced by Saaty (1987) that allows decision-makers to weigh attributes and evaluate alternatives presented to them. This package provides a consistent methodology for researchers to reformat data and run analytic hierarchy process in R on data that are formatted using the survey data entry mode. It is optimized for performing the analytic hierarchy process with many decision-makers, and provides tools and options for researchers to aggregate individual preferences and test multiple options. It also allows researchers to quantify, visualize and correct for inconsistency in the decision-maker's comparisons.
How to cite:
Frankie Cho (2018). ahpsurvey: Analytic Hierarchy Process for Survey Data. R package version 0.4.1, https://cran.r-project.org/web/packages/ahpsurvey. Accessed 03 Jul. 2026.
Previous versions and publish date:
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Other R packages that ahpsurvey depends,
imports, suggests or enhances
Complete documentation for ahpsurvey
Functions, R codes and Examples using
the ahpsurvey R package
Some associated functions: ahp.aggjudge . ahp.aggpref . ahp.cr . ahp.error . ahp.harker . ahp.indpref . ahp.mat . ahp.missing . ahp . ahp.pwerror . ahp.ri . ahpsurvey . city1 . city200 .
Some associated R codes: ahp.R . ahp_RI.R . ahp_aggjudge.R . ahp_aggpref.R . ahp_bweight.R . ahp_cr.R . ahp_error.R . ahp_harker.R . ahp_indpref.R . ahp_mat.R . ahp_missing.R . ahp_pwerror.R . ahpsurvey.R . data.R . Full ahpsurvey package functions and examples
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