EM_step: One step of EM algorithm
In ss15859/tennis.wta: Predicts Tennis Matches
Description
Usage
Arguments
Value
Description
One step of EM algorithm
Usage
1
EM_step(lambda,W,a,b,K,n)
Arguments
lambda
current values for the estimates of lambda.
W
(KxK) matrix where the (i,j) element is number of matches player i has beaten player j.
a
shape parameter for Gamma prior.
b
rate parameter for Gamma prior.
K
number of players.
n
W + t(W) - (i,j) element is total number of times player i has played player j.
Value
Updated estimate of lambdas.
ss15859/tennis.wta documentation built on Jan. 24, 2021, 12:46 a.m.
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Description Usage Arguments Value
Description
One step of EM algorithm
Usage
1 | EM_step(lambda,W,a,b,K,n)
|
Arguments
lambda |
current values for the estimates of lambda. |
W |
(KxK) matrix where the (i,j) element is number of matches player i has beaten player j. |
a |
shape parameter for Gamma prior. |
b |
rate parameter for Gamma prior. |
K |
number of players. |
n |
W + t(W) - (i,j) element is total number of times player i has played player j. |
Value
Updated estimate of lambdas.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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