Function to retrieve a data frame with summary of the parameters

get_parameters_df(
  bpc_object,
  params = NULL,
  HPDI = TRUE,
  credMass = 0.95,
  n_eff = FALSE,
  Rhat = FALSE,
  keep_par_name = T
)

Arguments

bpc_object	a bpc object
params	a vector with the parameters to use. If null then all will be present
HPDI	should return the HPDI or the credible intervals. Default is returning the HPDI
credMass	probability mass for the summary stats
n_eff	Should include the number of effective samples in the df
Rhat	Should include the Rhat in the df
keep_par_name	keep the parameter name e.g. lambda Graff instead of Graff. Default to T. Only valid for lambda, so we can have better ranks

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 2 finished in 3.2 seconds.
#> Chain 3 finished in 3.2 seconds.
#> Chain 1 finished in 3.3 seconds.
#> Chain 4 finished in 3.2 seconds.
#> 
#> All 4 chains finished successfully.
#> Mean chain execution time: 3.2 seconds.
#> Total execution time: 3.6 seconds.
param<-get_parameters_df(m)
print(param)
#>             Parameter        Mean    Median HPD_lower HPD_higher
#> 1       lambda[Seles]  0.40713235  0.388460  -2.26913    3.10646
#> 2        lambda[Graf]  0.83924941  0.834391  -1.82868    3.55931
#> 3    lambda[Sabatini] -0.44105063 -0.472083  -3.10371    2.29590
#> 4 lambda[Navratilova] -0.05551631 -0.081147  -2.68499    2.64094
#> 5     lambda[Sanchez] -1.21522138 -1.239695  -3.83926    1.60181
# }