get_probabilities: Get the empirical win/draw probabilities based on the...
In bpcs: Bayesian Paired Comparison Analysis with Stan

Description Usage Arguments Value Examples

Get the empirical win/draw probabilities based on the ability/strength parameters. Instead of calculating from the probability formula given from the model we create a predictive posterior distribution for all pair combinations and calculate the posterior wins/loose/draw The function returns the mean value of win/loose/draw for the player i. To calculate for player j the probability is 1-p_i

1	get_probabilities(bpc_object, n = 1000)

`bpc_object`	a bpc object
`n`	number of samples to draw from the posterior

a list with data frame table with the respective probabilities and a matrix with the corresponding posterior

m<-bpc(data = tennis_agresti,
player0 = 'player0',
player1 = 'player1',
result_column = 'y',
model_type = 'bt',
solve_ties = 'none')
prob<-get_probabilities(m)
print(prob$Table)