Fit Multi-Modal Mallows' Models to Ranking Data
All Kendall's distances between two sets of rankings.
Calculate all distances between a set of sequences and a fixed sequenc...
Fit Mallows model N times and select most likely model. The EM algorit...
Calculate the normalizing coefficient for Mallow's model in a sequence...
Constructs sequences from Kendall Information matricies.
Calculate the Kendall distance distribution in N! space.
The Expectation step of the EM algorithm.
Formats the data in the "Solve" function for output.
Hello, World!
All information used to calculate Kendall's distance.
Objective function to determine lambda.
Likelihood of the data and parameters.
Fits a Multi-Modal Mallows' model to ranking data.
Calculates the table of Kendall distances in (N+1)! space, given those...
Initialize sequence modes for the clustering process.
Fit Multi-modal Mallows' models to ranking data.
Calculates distances in N! space.
Change the form of ordered sequences.
Update the Lambda parameters of clusters.
Update Proportion in each cluster.
Update modal sequences in each cluster.
An EM algorithm to fit Mallows' Models to full or partial rankings, with or without ties. Based on Adkins and Flinger (1998) <doi:10.1080/03610929808832223>.