ExtMallows (version 0.1.0)

EMM: An extended Mallows model for aggregating multiple ranking lists

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

References

An extended Mallows model for ranked data aggregation

Examples

# NOT RUN {
data(simu1)
res=EMM(rankings = simu1, initial.method = "mean", it.max = 20)
res$op.phi
res$op.omega
res$op.pi0

# }