R: The Expectation step of the EM algorithm.

EStep {RMallow} | R Documentation

## The Expectation step of the EM algorithm.

### Description

Assigns each ranking the probability that it belongs to each cluster, given current parameters.

### Usage

      EStep(R, r, p, lambda, G, N, C, all.dists = NULL)

### Arguments

`R` | Current cluster modal sequences.
`r` | The data of partial or full rankings.
`p` | The proportion of the data currently assigned to each cluster.
`lambda` | The lambda parameters from Mallow's model for each cluster.
`G` | Number of clusters, length(R).
`N` | Number of rows in the data.
`C` | Vector of normalizing coefficients for the clusters.
`all.dists` | For efficiency, provide all of the Kendall distances between each sequence and each cluster mode.

### Value

Matrix where output[i, j] represents the current probability that subject "i" belongs to cluster "j".

### Author(s)

Erik Gregory

### References

"Mixtures of distance-based models for ranking data". Thomas Brendan Murphy & Donal Martin. 1 April 2002. Computational Statistics & Data Analysis 41 (2003) 645-655.

[Package RMallow version 1.0 Index]