Description Usage Arguments Value Examples
Compute the MLE for the dispersion parameter (theta) given a sample of n permutations and a central permutation
1 2 |
data |
the matrix with the permutations to estimate |
sigma_0 |
optional the consensus permutation. If not given it is assumed to be the identity permutation |
dist.name |
optional the name of the distance used by the model. One of: kendall (default), cayley, hamming, ulam |
disk |
optional can only be true if estimating a MM under the Ulam distance. Insted of generating the whole set of SYT and count of permutations per distance, it loads the info from a file in the disk |
The MLE for the dispersion parameter
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Loading required package: Rcpp
[1] 0.8981192
[1] 1.906813
[1] 1.326129
[1] 1.071962
[1] 1.282473
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