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: | 0.4.1 |
| Imports: | Rdpack, stats, magrittr, knitr, tidyr, dplyr, randomNames |
| Suggests: | ggplot2, scales |
| Published: | 2019-11-24 |
| Author: | Frankie Cho [aut, cre] |
| Maintainer: | Frankie Cho <htcho at connect.hku.hk> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | ahpsurvey results |
| Reference manual: | ahpsurvey.pdf |
| Vignettes: |
full |
| Package source: | ahpsurvey_0.4.1.tar.gz |
| Windows binaries: | r-devel: ahpsurvey_0.4.1.zip, r-release: ahpsurvey_0.4.1.zip, r-oldrel: ahpsurvey_0.4.1.zip |
| macOS binaries: | r-release: ahpsurvey_0.4.1.tgz, r-oldrel: ahpsurvey_0.4.1.tgz |
| Old sources: | ahpsurvey archive |
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