Description Usage Arguments Details Value References See Also Examples
Estimate Bradley-Terry ability scores from paired comparison data using the I-LSR algorithm.
Avoids using stats::glm()
and seems to be faster, but only approximates maximum likelihood.
1 |
C |
a square matrix of paired comparisons |
sort |
logical. If |
maxits |
The maximum number of iterations in the I-LSR algorithm |
tolerance |
The criterion for convergence of the algorithm |
verbose |
logical. If |
The function uses iterative Luce Spectral Ranking (I-LSR) to approximate the maximum likelihood ability weights of the Bradley-Terry model. To do: Add unit tests.
A vector of estimated ability scores
Maystre, Lucas and Grossglauser, Matthias (2015). Fast and accurate inference of Plackett–Luce models. In Advances in Neural Information Processing Systems, 172–180.
Other network centrality estimators: BTscores
,
BradleyTerry
, PageRank
,
Scroogefactor
1 |
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