bpc | Bayesian Paired comparison regression models in Stan |
bpcs-package | bpcs - A package for Bayesian Paired Comparison analysis with... |
brasil_soccer_league | This is a dataset with the results matches fromo the first... |
check_if_there_are_na | Check for NA in the specfic columns and returns T or F is... |
check_if_there_are_ties | Check if a data frame column contains ties |
check_numeric_predictor_matrix | Check if all values in the predictor matrix are numeric and... |
check_predictors_df_contains_all_players | Check if the predictor df contains all players and only those |
check_result_column | Check if a data frame column contains only the values 1 0 and... |
check_z_column | Check if a data frame column contains only the values 1 or 0.... |
compute_scores | Giving a player0 an player1 scores, this functions adds one... |
compute_ties | Giving a result column we create a new column with ties (0... |
create_array_of_par_names | Create an array with the parameter name and to what... |
create_bpc_object | Defines the class bpc and creates the bpc object. To create... |
create_cluster_index | Create two columns with the indexes for the names of the... |
create_cluster_index_with_existing_lookup_table | Create two columns with the indexes for the names Here we use... |
create_index | Create two columns with the indexes for the names of the... |
create_index_cluster_lookuptable | Create a lookup table of names and indexes Note that the... |
create_index_lookuptable | Create a lookup table of names and indexes Note that the... |
create_index_predictors_with_lookup_table | Receives one column with player names and returns a data... |
create_index_with_existing_lookup_table | Create two columns with the indexes for the names Here we use... |
create_predictor_matrix_with_player_lookup_table | Receives a predictor dataframe, a string with the column of... |
create_predictors_lookup_table | Receives a vector with predictors strings (the column names)... |
expand_aggregated_data | Expand aggregated data Several datasets for the Bradley-Terry... |
get_hpdi_parameters | Return the mean and the HPDI of the parameters of the model |
get_loo | Tiny wrapper for the PSIS-LOO-CV method from the loo package. |
get_model_parameters | Return all the name of parameters in a model from a... |
get_probabilities | Get the empirical win/draw probabilities based on the... |
get_rank_of_players | Generate a ranking of the ability based on sampling the... |
get_sample_posterior | Get the posterior samples for a parameter of the model. |
get_stanfit | Retrieve the stanfit object generated by rstan. |
get_stanfit_summary | Get stanfit summary table of all parameters excluding... |
get_waic | Tiny wrapper for the WAIC method from the loo package. |
HPD_higher_from_column | Returns the higher value of the HPD interval for a data frame... |
HPDI_from_stanfit | Calculate HPDI for all parameters from a stanfit object Here... |
HPD_lower_from_column | Returns the lower value of the HPD interval for a data frame... |
inv_logit | Inverse logit function |
launch_shinystan | Tiny wrapper to launch a shinystan app to investigate the... |
logit | Logit function |
match_cluster_names_to_cluster_lookup_table | Receives a column with cluster names and returns a data frame... |
match_player_names_to_lookup_table | Receives two columns with player names and returns a data... |
optimization_algorithms | Dataset containing an example of the performance of different... |
pipe | Pipe operator |
predict.bpc | Predict results for new data. |
print.bpc | Print method for the bpc object. |
replace_parameter_index_with_names | Replace the name of the parameter from index to name using a... |
sample_stanfit | Return a data frame by resampling the posterior from a... |
summary.bpc | Summary of the model bpc model. |
tennis_agresti | This is the expansion of the tennis data from Agresti (2003)... |
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