Analytic Hierarchy Process for Survey Data

Documentation for package ‘ahpsurvey’ version 0.4.3

ahp	Canned routine for AHP
ahp.aggjudge	Aggregate individual judgments
ahp.aggpref	Aggregate priority weights
ahp.cr	Calculates the consistency ratio of each decision-maker
ahp.error	Matrix of the product between the pairwise comparison value and pj/pi
ahp.harker	Replace inconsistent pairwise comparisons
ahp.indpref	Computes priority weights of individual decision-makers
ahp.mat	Generate AHP pairwise matrices from survey data
ahp.md	Replace inconsistent pairwise comparisons with the maximum deviation method
ahp.missing	Impute missing observations using the maximum deviation method.
ahp.pwerror	Finds the pairwise comparisons with the maximum amount of inconsistency
ahp.ri	Generate random indices
ahpsurvey	'ahpsurvey': Analytic Hierarchy Process for Survey Data
city1	Dataframe of one decision-maker based on Saaty (2004)
city200	A dataframe of 200 simulated decision-makers based on Saaty (2004)