prob_matrix: Probability Matrix
In pbulsink/HockeyModel: NHL Hockey Model for 2018-2019
prob_matrix R Documentation
Probability Matrix
Description
Given a mu, lambda, rho, and theta, generate a probability matrix. Differs from dcProbMatrix in that no regresson or solving for supplied teams happens
Usage
prob_matrix(lambda, mu, params, maxgoal)
Arguments
lambda
home lambda
mu
away mu
params
The named list containing m, rho, beta, eta, and k. See updateDC for information on the params list
maxgoal
max goals per game
Value
a square matrix of maxgoal:maxgoal
pbulsink/HockeyModel documentation built on Dec. 16, 2024, 8:03 a.m.
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| prob_matrix | R Documentation |
Probability Matrix
Description
Given a mu, lambda, rho, and theta, generate a probability matrix. Differs from dcProbMatrix in that no regresson or solving for supplied teams happens
Usage
prob_matrix(lambda, mu, params, maxgoal)
Arguments
lambda |
home lambda |
mu |
away mu |
params |
The named list containing m, rho, beta, eta, and k. See updateDC for information on the params list |
maxgoal |
max goals per game |
Value
a square matrix of maxgoal:maxgoal
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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