R: Comparing Automated Subject Indexing Methods in R

# Comparing Automated Subject Indexing Methods in R

## Documentation for package ‘casimir’ version 0.3.3

- DESCRIPTION file
- Package README

## Help Pages

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_dplyr | Compute intermediate set retrieval results per group
compute_intermediate_results_rr | Compute intermediate ranked retrieval results per group
compute_propensity_scores | Compute inverse propensity scores
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_ranked_retrieval_scores | Compute ranked retrieval scores
compute_set_retrieval_scores | Compute multi-label metrics
compute_set_retrieval_scores_dplyr | Compute multi-label metrics
create_comparison | Join gold standard and predicted results
create_rank_col | Create a rank column
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 | Compute the denominator for R-precision
find_ps_rprec_deno_dplyr | Compute the denominator for R-precision
generate_pr_auc_replica | Compute bootstrap replica of pr auc
generate_replicate_results | Compute bootstrapping 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
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
options | casimir Options
option_params | Declaration of options to be used as identical function arguments
process_cost_fp | Process cost for false positives
pr_curve_post_processing | Postprocessing of pr curve data
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