This S3 functions only prints the mean and the HDPI values of all the parameters in the model

# S3 method for bpc
print(x, credMass = 0.95, HPDI = T, digits = 3, diagnostics = TRUE, ...)

Arguments

x

a bpc object

credMass

the probability mass for the credible interval

HPDI

True if show HPDI interval, False to show the credible (quantile) intervals

digits

number of decimal digits in the table

diagnostics

show diagnostics

...

additional parameters for the generic print function. Not used

Examples

# \donttest{
m<-bpc(data = tennis_agresti,
player0 = 'player0',
player1 = 'player1',
result_column = 'y',
model_type = 'bt',
solve_ties = 'none')
#> Running MCMC with 4 parallel chains...
#> 
#> Chain 1 finished in 3.4 seconds.
#> Chain 2 finished in 3.5 seconds.
#> Chain 4 finished in 3.4 seconds.
#> Chain 3 finished in 3.6 seconds.
#> 
#> All 4 chains finished successfully.
#> Mean chain execution time: 3.5 seconds.
#> Total execution time: 3.7 seconds.
print(m)
#> Estimated baseline parameters with 95% HPD intervals:
#> 
#> Table: Parameters estimates
#> 
#> Parameter                Mean   Median   HPD_lower   HPD_higher
#> --------------------  -------  -------  ----------  -----------
#> lambda[Seles]           0.538    0.533      -2.217        3.209
#> lambda[Graf]            0.966    0.960      -1.669        3.745
#> lambda[Sabatini]       -0.308   -0.308      -3.094        2.295
#> lambda[Navratilova]     0.064    0.066      -2.714        2.769
#> lambda[Sanchez]        -1.100   -1.091      -3.889        1.573
#> NOTES:
#> * A higher lambda indicates a higher team ability
# }