ExtMallows (version 0.1.0)

MM: The Mallows model for aggregating multiple ranking lists

Description

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

Usage

MM(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.pi0

optimal value of pi0, ranking the items from the most preferred to the least preferred

max.logL

maximum value of log-likelihood

References

Mallows, C. L. (1957). Non-null ranking models, Biometrika 44(1/2): 114-130.

Examples

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

# }