bpcs (version 1.0.0)

get_rank_of_players: Generate a ranking of the ability based on sampling the posterior distribution of the ranks.

Description

To print this object you should remove the last column PosteriorRank since it contain the whole posterior distribution for each case

Usage

get_rank_of_players(bpc_object, n = 1000)

Arguments

bpc_object

a bpc object

n

Number of times we will sample the posterior

Value

a data frame. This data frame contains the median of the rank, the mean, the standard deviation and column with a list containing all the posterior values for the rank

Examples

# NOT RUN {
m<-bpc(data = tennis_agresti,
player0 = 'player0',
player1 = 'player1',
result_column = 'y',
model_type = 'bt',
solve_ties = 'none')
rank_m<-get_rank_of_players(m,n=100)
rank_table <- dplyr::select(rank_m,-MeanRank, -StdRank,-PosteriorRank)
print(rank_table)
# }