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:	0.4.1
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

Documentation:

Reference manual:	ahpsurvey.pdf
Vignettes:	full

Downloads:

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 (arm64): ahpsurvey_0.4.1.tgz, r-oldrel (arm64): ahpsurvey_0.4.1.tgz, r-release (x86_64): ahpsurvey_0.4.1.tgz, r-oldrel (x86_64): ahpsurvey_0.4.1.tgz
Old sources:	ahpsurvey archive

Linking:

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