apply_threshold         Filter predictions based on score and rank
boot_worker_fn          Compute bootstrap replica of pr auc
check_id_vars           Coerce id columns to character
check_id_vars_col       Coerce column to character
check_repair_relevance_compare
                        Check for inconsistent relevance values
check_repair_relevance_pred
                        Check for inconsistent relevance values
compute_intermediate_results
                        Compute intermediate set retrieval results per
                        group
compute_intermediate_results_rr
                        Compute intermediate ranked retrieval results
                        per group
compute_pr_auc          Compute area under precision-recall curve
compute_pr_auc_from_curve
                        Compute area under precision-recall curve
compute_pr_curve        Compute precision-recall curve
compute_propensity_scores
                        Compute inverse propensity scores
compute_ranked_retrieval_scores
                        Compute ranked retrieval scores
compute_set_retrieval_scores
                        Compute multi-label metrics
create_comparison       Join gold standard and predicted results
create_rank_col         Create a rank column
dcg_score               Helper function for document-wise computation
                        of ranked retrieval scores
dnb_gold_standard       DNB gold standard data for computing evaluation
                        metrics
dnb_label_distribution
                        DNB label distribution for computing propensity
                        scored metrics
dnb_test_predictions    DNB test predictions for computing evaluation
                        metrics
find_ps_rprec_deno      Compute the denominator for R-precision
generate_pr_auc_replica
                        Compute bootstrap replica of pr auc
generate_replicate_results
                        Compute bootstrapping results
helper_f                Calculate bootstrapping results for one sample
helper_f_dplyr          Calculate bootstrapping results for one sample
join_propensity_scores
                        Join propensity scores
lrap_score              Helper function for document-wise computation
                        of ranked retrieval scores
ndcg_score              Helper function for document-wise computation
                        of ranked retrieval scores
option_params           Declaration of options to be used as identical
                        function arguments
options                 casimir Options
pr_curve_post_processing
                        Postprocessing of pr curve data
process_cost_fp         Process cost for false positives
rename_metrics          Rename metrics
set_grouping_var        Set grouping variables
set_ps_flags            Set flags for propensity scores
summarise_intermediate_results
                        Compute the mean of intermediate results
summarise_intermediate_results_dplyr
                        Compute the mean of intermediate results
