ahpsurvey: Analytic Hierarchy Process for Survey Data
The Analytic Hierarchy Process is a versatile multi-criteria decision-making tool introduced by Saaty (1987) <doi:10.1016/0270-0255(87)90473-8> 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.
| Version: |
0.4.3 |
| Imports: |
Rdpack, stats, magrittr, dplyr |
| Suggests: |
ggplot2, scales, rmarkdown, markdown, randomNames, knitr, tidyr |
| Published: |
2026-07-16 |
| DOI: |
10.32614/CRAN.package.ahpsurvey |
| Author: |
Frankie Cho [aut, cre, cph] |
| Maintainer: |
Frankie Cho <frankie.cho at monash.edu> |
| BugReports: |
https://github.com/frankiecho/ahpsurvey/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://frankiecho.github.io/ahpsurvey/,
https://github.com/frankiecho/ahpsurvey |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Materials: |
README, NEWS |
| CRAN checks: |
ahpsurvey results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ahpsurvey
to link to this page.