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| RMallow-package | Fit Multi-modal Mallows' models to ranking data. |
| AllKendall | All Kendall's distances between two sets of rankings. |
| AllSeqDists | Calculate all distances between a set of sequences and a fixed sequence. |
| BestFit | Fit Mallows model N times and select most likely model. The EM algorithm to fit Multi-Modal Mallows' models is prone to getting stuck in local maxima, so we run it several times and selec the best one. |
| ConstructSeqs | Constructs sequences from Kendall Information matricies. |
| C_lam | Calculate the normalizing coefficient for Mallow's model in a sequence space. |
| datas | Sample data set. |
| DistanceDistribution | Calculate the Kendall distance distribution in N! space. |
| elect | 1980 APA Presidential Candidate ranking data. |
| EStep | The Expectation step of the EM algorithm. |
| FormatOut | Formats the data in the "Solve" function for output. |
| hello | Hello, World! |
| KendallInfo | All information used to calculate Kendall's distance. |
| Lambda | Objective function to determine lambda. |
| Likelihood | Likelihood of the data and parameters. |
| Mallows | Fits a Multi-Modal Mallows' model to ranking data. |
| NextTable | Calculates the table of Kendall distances in (N+1)! space, given those in N! space. |
| Rgen | Initialize sequence modes for the clustering process. |
| RMallow | Fit Multi-modal Mallows' models to ranking data. |
| SeqDistribution | Calculates distances in N! space. |
| SimplifySequences | Change the form of ordered sequences. |
| three.mode | Fitted version of the toy datas data set, with three modal sequences. |
| two.mode | Two-mode Mallows' model fit to toy data set "datas" |
| two.seq | Bi-modal Mallow's model fit to the APA data set. |
| UpdateLambda | Update the Lambda parameters of clusters. |
| UpdateP | Update Proportion in each cluster. |
| UpdateR | Update modal sequences in each cluster. |