Description Usage Arguments See Also
Splits the data set according to clusterids and calculates Transition matrices for each cluster individually
| 1 2 | optimTransitionCluster(Old, New, Transition = NA, iterations = 1000,
  epsilon = 1e-07, alpha = NA, documentation = FALSE, clusterids)
 | 
| Old | m by n matrix of values for n choices in m districts | 
| New | m by p matrix of values for n choices in m districts | 
| Transition | n by b matrix of transition values, all should be positive, row sums should be one | 
| epsilon | 'ε'-value for numerical approximation of gradient, defaults to 0.0000001 | 
| alpha | step size α, defaults to .01 / initial error | 
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