| riskutility: Disclosure Risk and Data Utility for Anonymized and Synthetic Data | riskutility-package riskutility |
| Attacker Risk Models (Prosecutor/Journalist/Marketer) | attacker_risk attacker_risk.default attacker_risk.synth_pair |
| Chi-Square Utility Measures | chisq_utility chisq_utility.default chisq_utility.synth_pair |
| Comparison of confidence intervals | ci_overlap |
| Confidence Interval Proximity | ci_proximity ci_proximity.default ci_proximity.synth_pair |
| Compare Boxplots of a Numeric Variable in Two Datasets | compare_boxplots compare_boxplots.default compare_boxplots.synth_pair |
| Compare Frequencies using Chi-square Goodness-of-Fit Test with Optional Grouping, Weights, and Simulated p-values | compare_chisq_gof compare_chisq_gof.default compare_chisq_gof.synth_pair |
| Compare Correlation Matrices between Two Datasets | compare_correlation_matrices compare_correlation_matrices.default compare_correlation_matrices.synth_pair |
| Compare continuous distributions conditionally | compare_distributions_cont compare_distributions_cont.default compare_distributions_cont.synth_pair |
| Compare Dimensionality Reduction Methods (t-SNE, UMAP, MDS-Sammon) for Two Datasets | compare_embedding compare_embedding.default compare_embedding.synth_pair |
| Compare Feature Importance between Real and Synthetic Data | compare_feature_importance compare_feature_importance.default compare_feature_importance.synth_pair |
| Compare Histograms of a Numeric Variable in Two Datasets | compare_histograms compare_histograms.default compare_histograms.synth_pair |
| Compare Distributions using the Kolmogorov-Smirnov Test | compare_ks_test compare_ks_test.default compare_ks_test.synth_pair |
| Compare Means and Frequencies between Two Datasets | compare_means_frequencies compare_means_frequencies.default compare_means_frequencies.synth_pair |
| Compare Missing Value Patterns Between Original and Synthetic Data | compare_missing_values compare_missing_values.default compare_missing_values.synth_pair |
| Compare Predictive Model Performance between Two Datasets | compare_model_performance compare_model_performance.default compare_model_performance.synth_pair |
| Compare Multivariate Distributions using Mahalanobis Distance or Jensen-Shannon Divergence | compare_multivariate_distribution compare_multivariate_distribution.default compare_multivariate_distribution.synth_pair |
| Compare Multivariate Summary Statistics between Two Datasets | compare_multivariate_summary_statistics compare_multivariate_summary_statistics.default compare_multivariate_summary_statistics.synth_pair |
| Compare Outlier Detection Between Original and Synthetic Data | compare_outliers compare_outliers.default compare_outliers.synth_pair |
| Compare Principal Component Analysis (PCA) between Two Datasets with Separate Loadings | compare_pca compare_pca.default compare_pca.synth_pair |
| Compare Distributions using the Wasserstein Distance | compare_wasserstein compare_wasserstein.default compare_wasserstein.synth_pair |
| Confidence Intervals for RAPID Risk Estimates | confint.rapid |
| Contingency Table Fidelity for Categorical Dependence Comparison | contingency_fidelity contingency_fidelity.default contingency_fidelity.synth_pair |
| Copula Fidelity for Dependence Structure Comparison | copula_fidelity copula_fidelity.default copula_fidelity.synth_pair |
| Correct Attribution Probability (CAP/DCAP) | dcap dcap.default dcap.synth_pair |
| Distance to Closest Record (DCR) | dcr dcr.default dcr.synth_pair |
| delta-Presence Risk Assessment | delta_presence delta_presence.default delta_presence.synth_pair |
| Density ratio and entropy | densitydiff_1d_num |
| Kullback-Leibler divergence | densitydiff_kl_num |
| Density ratio and entropy of first PC's | densitydiff_pca |
| Comprehensive Disclosure Risk Report | disclosure_report disclosure_report.default disclosure_report.synth_pair |
| Disclosive in Synthetic Correct Original (DiSCO) | disco disco.default disco.synth_pair |
| Density-based Membership Inference Attack (DOMIAS) | domias domias.default domias.synth_pair |
| Disclosure Risk for Continuous Variables (dRisk / dRiskRMD) | drisk drisk.default drisk.synth_pair |
| Energy Distance for Multivariate Numeric Data | energy_distance energy_distance.default energy_distance.synth_pair |
| Entropy measures | CrossEntropy Entropy JSDiv JSDiv_bayes KLDiv KLDiv_bayes |
| Additional Entropy-Based Privacy Measures | ConditionalEntropy CumulativeEntropy EntropyMeasures MaxEntropy MinEntropy NormalizedEntropy RenyiEntropy |
| Epsilon Identifiability | epsilon_identifiability epsilon_identifiability.default epsilon_identifiability.synth_pair |
| Evaluation statistics | ait evaluation_stats mae mape mse rmse |
| Extract comparison data from sdcMicro object | from_sdcMicro |
| Extract comparison data from simPop object | from_simPop |
| Extract comparison data from synthpop object | from_synthpop |
| Gower distance between two data frames | gower gower.default gower.synth_pair |
| Hellinger Distance for Categorical Distributions | hellinger hellinger.default hellinger.synth_pair |
| Get high-risk records | high_risk_records |
| Hitting Rate | hitting_rate hitting_rate.default hitting_rate.synth_pair |
| Identical Match Share (IMS) | ims ims.default ims.synth_pair |
| Individual Re-identification Risk | individual_risk individual_risk.default individual_risk.synth_pair |
| Information Surprisal | information_surprisal |
| Inspect a Single Record's Linkage Detail | inspect_record inspect_record.recordLinkageRisk print.inspect_record |
| k-Anonymity Assessment | kanonymity kanonymity.default kanonymity.synth_pair |
| l-Diversity Assessment | ldiversity ldiversity.default ldiversity.synth_pair |
| Linkability Risk | linkability linkability.default linkability.synth_pair |
| Maximum Information Leakage | max_info_leakage |
| Merge Per-Record Risks Back to Data | merge_per_record merge_per_record.recordLinkageRisk |
| Membership Inference Attack metric via classification | mia_classifier mia_classifier.default mia_classifier.synth_pair |
| Maximum Mean Discrepancy (MMD) for Multivariate Data | mmd mmd.default mmd.synth_pair |
| Model Quality Score | mqs mqs.default mqs.synth_pair |
| Mutual Information Privacy Metrics | mutualInformation |
| Nearest-Neighbor Adversarial Accuracy (NNAA) | nnaa nnaa.default nnaa.synth_pair |
| Nearest Neighbor Distance Ratio (NNDR) | nndr nndr.default nndr.synth_pair |
| Plot method for attacker_risk objects | plot.attacker_risk |
| Plot method for chisq_utility objects | plot.chisq_utility |
| Plot method for ci_proximity objects | plot.ci_proximity |
| Plot Method for Objects of Class "compare_distributions_cont" | plot.compare_distributions_cont |
| Plot method for compare_feature_importance objects | plot.compare_feature_importance |
| Plot method for contingency_fidelity objects | plot.contingency_fidelity |
| Plot method for copula_fidelity objects | plot.copula_fidelity |
| Plot method for dcap objects | plot.dcap |
| Plot method for dcr objects | plot.dcr |
| Plot method for delta_presence objects | plot.delta_presence |
| Plot method for denpca objects | plot.denpca |
| Plot method for denratio objects | plot.denratio |
| Plot method for disclosure_report objects | plot.disclosure_report |
| Plot method for disco objects | plot.disco |
| Plot method for domias objects | plot.domias |
| Plot method for drisk objects | plot.drisk |
| Plot method for energy_distance objects | plot.energy_distance |
| Plot method for epsilon_identifiability objects | plot.epsilon_identifiability |
| Plot method for gower objects | plot.gower |
| Plot method for hellinger objects | plot.hellinger |
| Plot method for hitting_rate objects | plot.hitting_rate |
| Plot method for ims objects | plot.ims |
| Plot method for individual_risk objects | plot.individual_risk |
| Plot method for kanonymity objects | plot.kanonymity |
| Plot method for ldiversityRisk objects | plot.ldiversityRisk |
| Plot method for linkability objects | plot.linkability |
| Plot method for mia objects | plot.mia |
| Plot method for missingCompare objects | plot.missingCompare |
| Plot method for mmd objects | plot.mmd |
| Plot method for mqs objects | plot.mqs |
| Plot method for nnaa objects | plot.nnaa |
| Plot method for nndr objects | plot.nndr |
| Plot method for pMSE objects | plot.pMSE |
| Plot method for population_uniqueness objects | plot.population_uniqueness |
| Plot method for propscore objects | plot.propscore |
| Plot method for rapid objects | plot.rapid |
| Plot method for recordLinkageRisk | plot.recordLinkageRisk |
| Plot method for regression_fidelity objects | plot.regression_fidelity |
| Plot method for rumap objects | plot.rumap |
| Plot method for singling_out objects | plot.singling_out |
| Plot method for specks objects | plot.specks |
| Plot method for subgroup_utility objects | plot.subgroup_utility |
| Plot method for suda objects | plot.suda |
| Plot method for tail_fidelity objects | plot.tail_fidelity |
| Plot method for tcap objects | plot.tcap |
| Plot method for tcloseness objects | plot.tcloseness |
| Plot method for weap objects | plot.weap |
| Propensity Score Mean Squared Error (pMSE) Utility Measure | pMSE pMSE.default pMSE.synth_pair |
| Population Uniqueness Risk | population_uniqueness population_uniqueness.default population_uniqueness.synth_pair |
| Positive Information Disclosure (PID) | positive_information_disclosure |
| Print method for attacker_risk objects | print.attacker_risk |
| Print method for chisq_utility objects | print.chisq_utility |
| Print method for ci_proximity objects | print.ci_proximity |
| Print method for compare_distributions_cont objects | print.compare_distributions_cont |
| Print method for compare_feature_importance objects | print.compare_feature_importance |
| Print method for contingency_fidelity objects | print.contingency_fidelity |
| Print method for copula_fidelity objects | print.copula_fidelity |
| Print method for dcap objects | print.dcap |
| Print method for dcr objects | print.dcr |
| Print method for delta_presence objects | print.delta_presence |
| Print method for denpca objects | print.denpca |
| Print method for denratio objects | print.denratio |
| Print method for disclosure_report objects | print.disclosure_report |
| Print method for disco objects | print.disco |
| Print method for domias objects | print.domias |
| Print method for drisk objects | print.drisk |
| Print method for energy_distance objects | print.energy_distance |
| Print method for epsilon_identifiability objects | print.epsilon_identifiability |
| Print method for gower objects | print.gower |
| Print method for hellinger objects | print.hellinger |
| Print method for hitting_rate objects | print.hitting_rate |
| Print method for ims objects | print.ims |
| Print method for individual_risk objects | print.individual_risk |
| Print method for kanonymity objects | print.kanonymity |
| Print method for ldiversityRisk objects | print.ldiversityRisk |
| Print method for linkability objects | print.linkability |
| Print method for mia objects | print.mia |
| Print method for missingCompare objects | print.missingCompare |
| Print method for mmd objects | print.mmd |
| Print method for mqs objects | print.mqs |
| Print method for nnaa objects | print.nnaa |
| Print method for nndr objects | print.nndr |
| Print method for pMSE objects | print.pMSE |
| Print method for population_uniqueness objects | print.population_uniqueness |
| Print method for propscore objects | print.propscore |
| Print method for rapid objects | print.rapid |
| Print method for recordLinkageRisk | print.recordLinkageRisk |
| Print method for regression_fidelity objects | print.regression_fidelity |
| Print method for rumap objects | print.rumap |
| Print method for singling_out objects | print.singling_out |
| Print method for specks objects | print.specks |
| Print method for subgroup_utility objects | print.subgroup_utility |
| Print method for suda objects | print.suda |
| Print method for summary.attacker_risk objects | print.summary.attacker_risk |
| Print method for summary.chisq_utility objects | print.summary.chisq_utility |
| Print method for summary.ci_proximity objects | print.summary.ci_proximity |
| Print method for summary.compare_distributions_cont objects | print.summary.compare_distributions_cont |
| Print method for summary.compare_feature_importance objects | print.summary.compare_feature_importance |
| Print method for summary.contingency_fidelity objects | print.summary.contingency_fidelity |
| Print method for summary.copula_fidelity objects | print.summary.copula_fidelity |
| Print method for summary.dcap objects | print.summary.dcap |
| Print method for summary.dcr objects | print.summary.dcr |
| Print method for summary.delta_presence objects | print.summary.delta_presence |
| Print method for summary.denpca objects | print.summary.denpca |
| Print method for summary.denratio objects | print.summary.denratio |
| Print method for summary.disclosure_report objects | print.summary.disclosure_report |
| Print method for summary.disco objects | print.summary.disco |
| Print method for summary.domias objects | print.summary.domias |
| Print method for summary.drisk objects | print.summary.drisk |
| Print method for summary.energy_distance objects | print.summary.energy_distance |
| Print method for summary.epsilon_identifiability objects | print.summary.epsilon_identifiability |
| Print method for summary.gower objects | print.summary.gower |
| Print method for summary.hellinger objects | print.summary.hellinger |
| Print method for summary.hitting_rate objects | print.summary.hitting_rate |
| Print method for summary.ims objects | print.summary.ims |
| Print method for summary.individual_risk objects | print.summary.individual_risk |
| Print method for summary.kanonymity objects | print.summary.kanonymity |
| Print method for summary.ldiversityRisk objects | print.summary.ldiversityRisk |
| Print method for summary.linkability objects | print.summary.linkability |
| Print method for summary.mia objects | print.summary.mia |
| Print method for summary.missingCompare objects | print.summary.missingCompare |
| Print method for summary.mmd objects | print.summary.mmd |
| Print method for summary.mqs objects | print.summary.mqs |
| Print method for summary.nnaa objects | print.summary.nnaa |
| Print method for summary.nndr objects | print.summary.nndr |
| Print method for summary.pMSE objects | print.summary.pMSE |
| Print method for summary.population_uniqueness objects | print.summary.population_uniqueness |
| Print method for summary.propscore objects | print.summary.propscore |
| Print method for summary.rapid objects | print.summary.rapid |
| Print method for summary.rapid_cv objects | print.summary.rapid_cv |
| Print method for summary.rapid_test objects | print.summary.rapid_test |
| Print method for summary.rapid_threshold objects | print.summary.rapid_threshold |
| Print method for summary.recordLinkageRisk | print.summary.recordLinkageRisk |
| Print method for summary.regression_fidelity objects | print.summary.regression_fidelity |
| Print method for summary.rumap objects | print.summary.rumap |
| Print method for summary.singling_out objects | print.summary.singling_out |
| Print method for summary.specks objects | print.summary.specks |
| Print method for summary.subgroup_utility objects | print.summary.subgroup_utility |
| Print method for summary.suda objects | print.summary.suda |
| Print method for summary.synth_pair objects | print.summary.synth_pair |
| Print method for summary.tail_fidelity objects | print.summary.tail_fidelity |
| Print method for summary.tcap objects | print.summary.tcap |
| Print method for summary.tcloseness objects | print.summary.tcloseness |
| Print method for summary.weap objects | print.summary.weap |
| Print method for synth_pair objects | print.synth_pair |
| Print method for tail_fidelity objects | print.tail_fidelity |
| Print method for tcap objects | print.tcap |
| Print method for tcloseness objects | print.tcloseness |
| Print method for weap objects | print.weap |
| Privacy Score | privacy_score |
| Propensity score utility measure | propscore propscore.default propscore.synth_pair |
| RAPID: Risk of Attribute Prediction-Induced Disclosure | rapid rapid.default rapid.synth_pair |
| Cross-Validation of Synthesizer Disclosure Risk | print.rapid_cv rapid_synthesizer_cv |
| Permutation Test for RAPID Disclosure Risk | print.rapid_test rapid_test |
| Data-Driven Threshold Selection for RAPID | plot.rapid_threshold print.rapid_threshold rapid_threshold_select |
| Record Linkage Risk After Perturbation | recordLinkage recordLinkage.default recordLinkage.synth_pair |
| Regression Fidelity — Coefficient Comparison | regression_fidelity regression_fidelity.default regression_fidelity.synth_pair |
| Replicated Uniques (RepU) | repu |
| RF Proximity Privacy Assessment | plot.rf_privacy print.rf_privacy print.summary.rf_privacy rf_privacy rf_privacy.default rf_privacy.synth_pair summary.rf_privacy |
| Aggregate Risk by Group | risk_by_group risk_by_group.recordLinkageRisk |
| Multivariate Risk-Utility Map (RU-Map) | rumap rumap.default rumap.synth_pair |
| Singling Out Risk | singling_out singling_out.default singling_out.synth_pair |
| SPECKS - Propensity Score Comparison via Kolmogorov-Smirnov Test | specks specks.default specks.synth_pair |
| Stratified Utility Assessment Across Subgroups | subgroup_utility subgroup_utility.default subgroup_utility.synth_pair |
| SUDA - Special Uniques Detection Algorithm | suda suda.default suda.synth_pair |
| Summary method for attacker_risk objects | summary.attacker_risk |
| Summary method for chisq_utility objects | summary.chisq_utility |
| Summary method for ci_proximity objects | summary.ci_proximity |
| Summary method for compare_distributions_cont objects | summary.compare_distributions_cont |
| Summary method for compare_feature_importance objects | summary.compare_feature_importance |
| Summary method for contingency_fidelity objects | summary.contingency_fidelity |
| Summary method for copula_fidelity objects | summary.copula_fidelity |
| Summary method for dcap objects | summary.dcap |
| Summary method for dcr objects | summary.dcr |
| Summary method for delta_presence objects | summary.delta_presence |
| Summary method for denpca objects | summary.denpca |
| Summary method for denratio objects | summary.denratio |
| Summary method for disclosure_report objects | summary.disclosure_report |
| Summary method for disco objects | summary.disco |
| Summary method for domias objects | summary.domias |
| Summary method for drisk objects | summary.drisk |
| Summary method for energy_distance objects | summary.energy_distance |
| Summary method for epsilon_identifiability objects | summary.epsilon_identifiability |
| Summary method for gower objects | summary.gower |
| Summary method for hellinger objects | summary.hellinger |
| Summary method for hitting_rate objects | summary.hitting_rate |
| Summary method for ims objects | summary.ims |
| Summary method for individual_risk objects | summary.individual_risk |
| Summary method for kanonymity objects | summary.kanonymity |
| Summary method for ldiversityRisk objects | summary.ldiversityRisk |
| Summary method for linkability objects | summary.linkability |
| Summary method for mia objects | summary.mia |
| Summary method for missingCompare objects | summary.missingCompare |
| Summary method for mmd objects | summary.mmd |
| Summary method for mqs objects | summary.mqs |
| Summary method for nnaa objects | summary.nnaa |
| Summary method for nndr objects | summary.nndr |
| Summary method for pMSE objects | summary.pMSE |
| Summary method for population_uniqueness objects | summary.population_uniqueness |
| Summary method for propscore objects | summary.propscore |
| Summary method for rapid objects | summary.rapid |
| Summary method for rapid_cv objects | summary.rapid_cv |
| Summary method for rapid_test objects | summary.rapid_test |
| Summary method for rapid_threshold objects | summary.rapid_threshold |
| Summary method for recordLinkageRisk | summary.recordLinkageRisk |
| Summary method for regression_fidelity objects | summary.regression_fidelity |
| Summary method for rumap objects | summary.rumap |
| Summary method for singling_out objects | summary.singling_out |
| Summary method for specks objects | summary.specks |
| Summary method for subgroup_utility objects | summary.subgroup_utility |
| Summary method for suda objects | summary.suda |
| Summary method for synth_pair objects | summary.synth_pair |
| Summary method for tail_fidelity objects | summary.tail_fidelity |
| Summary method for tcap objects | summary.tcap |
| Summary method for tcloseness objects | summary.tcloseness |
| Summary method for weap objects | summary.weap |
| Create a Synthetic Data Comparison Pair | synth_pair |
| System Anonymity Level | systemAnonymityLevel |
| Tail Fidelity — Tail Preservation Utility Measure | tail_fidelity tail_fidelity.default tail_fidelity.synth_pair |
| Targeted Correct Attribution Probability (TCAP) | tcap tcap.default tcap.synth_pair |
| t-Closeness Assessment | tcloseness tcloseness.default tcloseness.synth_pair |
| Return Highest-Risk Records | top_at_risk top_at_risk.recordLinkageRisk |
| Train on Synthetic, Test on Real (TSTR) Utility Measure | plot.tstr print.summary.tstr print.tstr summary.tstr tstr tstr.default tstr.synth_pair |
| Within Equivalence Class Attribution Probability (WEAP) | weap weap.default weap.synth_pair |
