summary.bpc: Summary of the model bpc model.

In bpcs: Bayesian Paired Comparison Analysis with Stan

Description

• Table 1: Contains the parameter estimates and respective HPD interval

• Table 2: Contains the posterior probability for the combination of all players

• Table 3: Contains the ranking of the players' abilities based on the posterior distribution of the ranks

Usage

## S3 method for class 'bpc'
summary(object, digits = 2, ...)

Arguments

object	bpc object
digits	number of decimal digits in the table
...	additional parameters for the generic summary function

Examples

m<-bpc(data = tennis_agresti,
player0 = 'player0',
player1 = 'player1',
result_column = 'y',
model_type = 'bt',
solve_ties = 'none')
summary(m)

bpcs documentation built on Dec. 15, 2020, 5:23 p.m.