sport

Sequential Pairwise Online Rating Techniques

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

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Description file content

Package
sport
Type
Package
Title
Sequential Pairwise Online Rating Techniques
Version
0.1.2
Depends
R (>= 3.0)
Maintainer
Dawid Kałędkowski
Description
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) ; Mark E. Glickman (2001) ; Ruby C. Weng, Chih-Jen Lin (2011) ; W. Penny, Stephen J. Roberts (1999) .
BugReports
https://github.com/gogonzo/sport/issues
Imports
Rcpp (>= 0.12.8), data.table (>= 1.11.0), ggplot2 (>= 3.0.0)
LinkingTo
Rcpp
License
GPL-2
Encoding
UTF-8
URL
LazyData
true
RoxygenNote
6.1.0
Suggests
dplyr, knitr, magrittr, rmarkdown, testthat
VignetteBuilder
knitr
NeedsCompilation
yes
Packaged
2019-01-07 22:14:57 UTC; kaledkod
Author
Dawid Kałędkowski [aut, cre]
Repository
CRAN
Date/Publication
2019-01-07 23:00:10 UTC

install.packages('sport')

0.1.2

6 months ago

https://github.com/gogonzo/sport

Dawid Kałędkowski

GPL-2

Depends on

R (>= 3.0)

Imports

Rcpp (>= 0.12.8), data.table (>= 1.11.0), ggplot2 (>= 3.0.0)

Suggests

dplyr, knitr, magrittr, rmarkdown, testthat

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