Calculates ratings for two-player or
multi-player challenges. Methods included in package such as are able to
estimate ratings (players strengths) and their evolution in time, also able to
predict output of challenge. Algorithms are based on Bayesian Approximation
Method, and they don't involve any matrix inversions nor likelihood estimation.
Parameters are updated sequentially, and computation doesn't require any
additional RAM to make estimation feasible. Additionally, base of the package
is written in C++ what makes sport computation even faster. Methods used in the
package refers to Mark E. Glickman (1999)
|Maintainer||Dawid Kałędkowski <[email protected]>|
|Package repository||View on GitHub|
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