EMM: An extended Mallows model for aggregating multiple ranking...

In ExtMallows: An Extended Mallows Model and Its Hierarchical Version for Ranked Data Aggregation

Description

It uses the extended Mallows model to aggregate multiple full/partial ranking lists.

Usage

EMM(rankings, initial.method, it.max)

Arguments

rankings	A n by m matrix, with each column representing a ranking list, which ranks the items from the most preferred to the least preferred. For missing items, use 0 to denote them.
initial.method	the method for initializing the value of pi0, with four options: mean, median, geometric and random (the mean of three randomly sampled ranking lists). By default, initial.method="mean".
it.max	the maximum number of iterations. By default, it.max=20.

Value

op.phi	optimal value of phi
op.omega	optimal value of omega
op.alpha	optimal value of alpha
op.pi0	optimal value of pi0, ranking the items from the most preferred to the least preferred
max.logL	maximum value of log-likelihood

Author(s)

Han Li, Minxuan Xu, Jun S. Liu and Xiaodan Fan

References

An extended Mallows model for ranked data aggregation

Examples

data(simu1)
res=EMM(rankings = simu1, initial.method = "mean", it.max = 20)
res$op.phi
res$op.omega
res$op.pi0

ExtMallows documentation built on May 1, 2019, 8:45 p.m.