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.missing             Impute missing observations using the method in
                        Harker (1987)
ahp.pwerror             Finds the pairwise comparisons with the maximum
                        amount of inconsistency
ahp.ri                  Generate random indices
ahpsurvey               AHP Survey package
city1                   Dataframe of one decision-maker based on Saaty
                        (2004)
city200                 A dataframe of 200 simulated decision-makers
                        based on Saaty (2004)
