gpsquads

Actual dataset containing turnament results of all Speedway Grand-Prix events
<code>gpsquads</code>

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 refer to Mark E. Glickman (1999)
<http://www.glicko.net/research/glicko.pdf>;
Mark E. Glickman (2001) <doi:10.1080/02664760120059219>;
Ruby C. Weng, Chih-Jen Lin (2011) <https://www.jmlr.org/papers/volume12/weng11a/weng11a.pdf>;
W. Penny, Stephen J. Roberts (1999) <doi:10.1109/IJCNN.1999.832603>.

Dawid Ka<c5><82><c4><99>dkowski

sport

Sequential Pairwise Online Rating Techniques

Dawid Kałędkowski

gpsquads function

A data frame with &gt;4000 rows and 9 variables:<ul>
<li><code>id</code> - event identifier</li>
<li><code>season</code> - year of Grand-Prix, 1995-now</li>
<li><code>date</code> - date of turnament</li>
<li><code>place</code> - stadium of event</li>
<li><code>round</code> - round in season</li>
<li><code>name</code> - Turnament name</li>
<li><code>rider</code> - rider names, 1-6</li>
<li><code>points</code> - points gained, integer</li>
<li><code>classification</code> - classification after an event</li>
</ul>

gpsquads: Turnament results of Speedway Grand-Prix

Description

Arguments

Format