Package index • casimir

All functions
`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_results_dplyr()`	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_set_retrieval_scores_dplyr()`	Compute multi-label metrics
`create_comparison()`	Join gold standard and predicted results
`create_rank_col()` `create_rank_col_dplyr()`	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()` `find_ps_rprec_deno_dplyr()`	Compute the denominator for R-precision
`generate_pr_auc_replica()`	Compute bootstrap replica of pr auc
`generate_replicate_results()` `generate_replicate_results_dplyr()`	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_dplyr()`	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

Reference

All functions