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: 0.3.0
Imports: Rdpack, stats, magrittr, knitr, tidyr, dplyr
Suggests: ggplot2, tidyverse, scales
Published: 2018-12-17
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

Downloads:

Reference manual: ahpsurvey.pdf
Vignettes: full
Package source: ahpsurvey_0.3.0.tar.gz
Windows binaries: r-devel: ahpsurvey_0.2.2.zip, r-release: ahpsurvey_0.2.2.zip, r-oldrel: ahpsurvey_0.2.2.zip
OS X binaries: r-release: ahpsurvey_0.2.2.tgz, r-oldrel: ahpsurvey_0.2.2.tgz
Old sources: ahpsurvey archive

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