Disclosure Risk and Data Utility Metrics for Synthetic and
Anonymized Data
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Documentation for package ‘riskutility’ version 0.1.0
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A C D E F G H I J K L M N P R S T W
| riskutility-package | riskutility: Disclosure Risk and Data Utility for Anonymized and Synthetic Data |
-- A --
| ait | Evaluation statistics |
| attacker_risk | Attacker Risk Models (Prosecutor/Journalist/Marketer) |
| attacker_risk.default | Attacker Risk Models (Prosecutor/Journalist/Marketer) |
| attacker_risk.synth_pair | Attacker Risk Models (Prosecutor/Journalist/Marketer) |
-- C --
| chisq_utility | Chi-Square Utility Measures |
| chisq_utility.default | Chi-Square Utility Measures |
| chisq_utility.synth_pair | Chi-Square Utility Measures |
| ci_overlap | Comparison of confidence intervals |
| ci_proximity | Confidence Interval Proximity |
| ci_proximity.default | Confidence Interval Proximity |
| ci_proximity.synth_pair | Confidence Interval Proximity |
| compare_boxplots | Compare Boxplots of a Numeric Variable in Two Datasets |
| compare_boxplots.default | Compare Boxplots of a Numeric Variable in Two Datasets |
| compare_boxplots.synth_pair | Compare Boxplots of a Numeric Variable in Two Datasets |
| compare_chisq_gof | Compare Frequencies using Chi-square Goodness-of-Fit Test with Optional Grouping, Weights, and Simulated p-values |
| compare_chisq_gof.default | Compare Frequencies using Chi-square Goodness-of-Fit Test with Optional Grouping, Weights, and Simulated p-values |
| compare_chisq_gof.synth_pair | Compare Frequencies using Chi-square Goodness-of-Fit Test with Optional Grouping, Weights, and Simulated p-values |
| compare_correlation_matrices | Compare Correlation Matrices between Two Datasets |
| compare_correlation_matrices.default | Compare Correlation Matrices between Two Datasets |
| compare_correlation_matrices.synth_pair | Compare Correlation Matrices between Two Datasets |
| compare_distributions_cont | Compare continuous distributions conditionally |
| compare_distributions_cont.default | Compare continuous distributions conditionally |
| compare_distributions_cont.synth_pair | Compare continuous distributions conditionally |
| compare_embedding | Compare Dimensionality Reduction Methods (t-SNE, UMAP, MDS-Sammon) for Two Datasets |
| compare_embedding.default | Compare Dimensionality Reduction Methods (t-SNE, UMAP, MDS-Sammon) for Two Datasets |
| compare_embedding.synth_pair | Compare Dimensionality Reduction Methods (t-SNE, UMAP, MDS-Sammon) for Two Datasets |
| compare_feature_importance | Compare Feature Importance between Real and Synthetic Data |
| compare_feature_importance.default | Compare Feature Importance between Real and Synthetic Data |
| compare_feature_importance.synth_pair | Compare Feature Importance between Real and Synthetic Data |
| compare_histograms | Compare Histograms of a Numeric Variable in Two Datasets |
| compare_histograms.default | Compare Histograms of a Numeric Variable in Two Datasets |
| compare_histograms.synth_pair | Compare Histograms of a Numeric Variable in Two Datasets |
| compare_ks_test | Compare Distributions using the Kolmogorov-Smirnov Test |
| compare_ks_test.default | Compare Distributions using the Kolmogorov-Smirnov Test |
| compare_ks_test.synth_pair | Compare Distributions using the Kolmogorov-Smirnov Test |
| compare_means_frequencies | Compare Means and Frequencies between Two Datasets |
| compare_means_frequencies.default | Compare Means and Frequencies between Two Datasets |
| compare_means_frequencies.synth_pair | Compare Means and Frequencies between Two Datasets |
| compare_missing_values | Compare Missing Value Patterns Between Original and Synthetic Data |
| compare_missing_values.default | Compare Missing Value Patterns Between Original and Synthetic Data |
| compare_missing_values.synth_pair | Compare Missing Value Patterns Between Original and Synthetic Data |
| compare_model_performance | Compare Predictive Model Performance between Two Datasets |
| compare_model_performance.default | Compare Predictive Model Performance between Two Datasets |
| compare_model_performance.synth_pair | Compare Predictive Model Performance between Two Datasets |
| compare_multivariate_distribution | Compare Multivariate Distributions using Mahalanobis Distance or Jensen-Shannon Divergence |
| compare_multivariate_distribution.default | Compare Multivariate Distributions using Mahalanobis Distance or Jensen-Shannon Divergence |
| compare_multivariate_distribution.synth_pair | Compare Multivariate Distributions using Mahalanobis Distance or Jensen-Shannon Divergence |
| compare_multivariate_summary_statistics | Compare Multivariate Summary Statistics between Two Datasets |
| compare_multivariate_summary_statistics.default | Compare Multivariate Summary Statistics between Two Datasets |
| compare_multivariate_summary_statistics.synth_pair | Compare Multivariate Summary Statistics between Two Datasets |
| compare_outliers | Compare Outlier Detection Between Original and Synthetic Data |
| compare_outliers.default | Compare Outlier Detection Between Original and Synthetic Data |
| compare_outliers.synth_pair | Compare Outlier Detection Between Original and Synthetic Data |
| compare_pca | Compare Principal Component Analysis (PCA) between Two Datasets with Separate Loadings |
| compare_pca.default | Compare Principal Component Analysis (PCA) between Two Datasets with Separate Loadings |
| compare_pca.synth_pair | Compare Principal Component Analysis (PCA) between Two Datasets with Separate Loadings |
| compare_wasserstein | Compare Distributions using the Wasserstein Distance |
| compare_wasserstein.default | Compare Distributions using the Wasserstein Distance |
| compare_wasserstein.synth_pair | Compare Distributions using the Wasserstein Distance |
| ConditionalEntropy | Additional Entropy-Based Privacy Measures |
| confint.rapid | Confidence Intervals for RAPID Risk Estimates |
| contingency_fidelity | Contingency Table Fidelity for Categorical Dependence Comparison |
| contingency_fidelity.default | Contingency Table Fidelity for Categorical Dependence Comparison |
| contingency_fidelity.synth_pair | Contingency Table Fidelity for Categorical Dependence Comparison |
| copula_fidelity | Copula Fidelity for Dependence Structure Comparison |
| copula_fidelity.default | Copula Fidelity for Dependence Structure Comparison |
| copula_fidelity.synth_pair | Copula Fidelity for Dependence Structure Comparison |
| CrossEntropy | Entropy measures |
| CumulativeEntropy | Additional Entropy-Based Privacy Measures |
-- D --
| dcap | Correct Attribution Probability (CAP/DCAP) |
| dcap.default | Correct Attribution Probability (CAP/DCAP) |
| dcap.synth_pair | Correct Attribution Probability (CAP/DCAP) |
| dcr | Distance to Closest Record (DCR) |
| dcr.default | Distance to Closest Record (DCR) |
| dcr.synth_pair | Distance to Closest Record (DCR) |
| delta_presence | delta-Presence Risk Assessment |
| delta_presence.default | delta-Presence Risk Assessment |
| delta_presence.synth_pair | delta-Presence Risk Assessment |
| densitydiff_1d_num | Density ratio and entropy |
| densitydiff_kl_num | Kullback-Leibler divergence |
| densitydiff_pca | Density ratio and entropy of first PC's |
| disclosure_report | Comprehensive Disclosure Risk Report |
| disclosure_report.default | Comprehensive Disclosure Risk Report |
| disclosure_report.synth_pair | Comprehensive Disclosure Risk Report |
| disco | Disclosive in Synthetic Correct Original (DiSCO) |
| disco.default | Disclosive in Synthetic Correct Original (DiSCO) |
| disco.synth_pair | Disclosive in Synthetic Correct Original (DiSCO) |
| domias | Density-based Membership Inference Attack (DOMIAS) |
| domias.default | Density-based Membership Inference Attack (DOMIAS) |
| domias.synth_pair | Density-based Membership Inference Attack (DOMIAS) |
| drisk | Disclosure Risk for Continuous Variables (dRisk / dRiskRMD) |
| drisk.default | Disclosure Risk for Continuous Variables (dRisk / dRiskRMD) |
| drisk.synth_pair | Disclosure Risk for Continuous Variables (dRisk / dRiskRMD) |
-- E --
| energy_distance | Energy Distance for Multivariate Numeric Data |
| energy_distance.default | Energy Distance for Multivariate Numeric Data |
| energy_distance.synth_pair | Energy Distance for Multivariate Numeric Data |
| Entropy | Entropy measures |
| EntropyMeasures | Additional Entropy-Based Privacy Measures |
| epsilon_identifiability | Epsilon Identifiability |
| epsilon_identifiability.default | Epsilon Identifiability |
| epsilon_identifiability.synth_pair | Epsilon Identifiability |
| evaluation_stats | Evaluation statistics |
-- F --
| from_sdcMicro | Extract comparison data from sdcMicro object |
| from_simPop | Extract comparison data from simPop object |
| from_synthpop | Extract comparison data from synthpop object |
-- G --
| gower | Gower distance between two data frames |
| gower.default | Gower distance between two data frames |
| gower.synth_pair | Gower distance between two data frames |
-- H --
| hellinger | Hellinger Distance for Categorical Distributions |
| hellinger.default | Hellinger Distance for Categorical Distributions |
| hellinger.synth_pair | Hellinger Distance for Categorical Distributions |
| high_risk_records | Get high-risk records |
| hitting_rate | Hitting Rate |
| hitting_rate.default | Hitting Rate |
| hitting_rate.synth_pair | Hitting Rate |
-- I --
| ims | Identical Match Share (IMS) |
| ims.default | Identical Match Share (IMS) |
| ims.synth_pair | Identical Match Share (IMS) |
| individual_risk | Individual Re-identification Risk |
| individual_risk.default | Individual Re-identification Risk |
| individual_risk.synth_pair | Individual Re-identification Risk |
| information_surprisal | Information Surprisal |
| inspect_record | Inspect a Single Record's Linkage Detail |
| inspect_record.recordLinkageRisk | Inspect a Single Record's Linkage Detail |
-- J --
| JSDiv | Entropy measures |
| JSDiv_bayes | Entropy measures |
-- K --
| kanonymity | k-Anonymity Assessment |
| kanonymity.default | k-Anonymity Assessment |
| kanonymity.synth_pair | k-Anonymity Assessment |
| KLDiv | Entropy measures |
| KLDiv_bayes | Entropy measures |
-- L --
| ldiversity | l-Diversity Assessment |
| ldiversity.default | l-Diversity Assessment |
| ldiversity.synth_pair | l-Diversity Assessment |
| linkability | Linkability Risk |
| linkability.default | Linkability Risk |
| linkability.synth_pair | Linkability Risk |
-- M --
| mae | Evaluation statistics |
| mape | Evaluation statistics |
| MaxEntropy | Additional Entropy-Based Privacy Measures |
| max_info_leakage | Maximum Information Leakage |
| merge_per_record | Merge Per-Record Risks Back to Data |
| merge_per_record.recordLinkageRisk | Merge Per-Record Risks Back to Data |
| mia_classifier | Membership Inference Attack metric via classification |
| mia_classifier.default | Membership Inference Attack metric via classification |
| mia_classifier.synth_pair | Membership Inference Attack metric via classification |
| MinEntropy | Additional Entropy-Based Privacy Measures |
| mmd | Maximum Mean Discrepancy (MMD) for Multivariate Data |
| mmd.default | Maximum Mean Discrepancy (MMD) for Multivariate Data |
| mmd.synth_pair | Maximum Mean Discrepancy (MMD) for Multivariate Data |
| mqs | Model Quality Score |
| mqs.default | Model Quality Score |
| mqs.synth_pair | Model Quality Score |
| mse | Evaluation statistics |
| mutualInformation | Mutual Information Privacy Metrics |
-- N --
| nnaa | Nearest-Neighbor Adversarial Accuracy (NNAA) |
| nnaa.default | Nearest-Neighbor Adversarial Accuracy (NNAA) |
| nnaa.synth_pair | Nearest-Neighbor Adversarial Accuracy (NNAA) |
| nndr | Nearest Neighbor Distance Ratio (NNDR) |
| nndr.default | Nearest Neighbor Distance Ratio (NNDR) |
| nndr.synth_pair | Nearest Neighbor Distance Ratio (NNDR) |
| NormalizedEntropy | Additional Entropy-Based Privacy Measures |
-- P --
| plot.attacker_risk | Plot method for attacker_risk objects |
| plot.chisq_utility | Plot method for chisq_utility objects |
| plot.ci_proximity | Plot method for ci_proximity objects |
| plot.compare_distributions_cont | Plot Method for Objects of Class "compare_distributions_cont" |
| plot.compare_feature_importance | Plot method for compare_feature_importance objects |
| plot.contingency_fidelity | Plot method for contingency_fidelity objects |
| plot.copula_fidelity | Plot method for copula_fidelity objects |
| plot.dcap | Plot method for dcap objects |
| plot.dcr | Plot method for dcr objects |
| plot.delta_presence | Plot method for delta_presence objects |
| plot.denpca | Plot method for denpca objects |
| plot.denratio | Plot method for denratio objects |
| plot.disclosure_report | Plot method for disclosure_report objects |
| plot.disco | Plot method for disco objects |
| plot.domias | Plot method for domias objects |
| plot.drisk | Plot method for drisk objects |
| plot.energy_distance | Plot method for energy_distance objects |
| plot.epsilon_identifiability | Plot method for epsilon_identifiability objects |
| plot.gower | Plot method for gower objects |
| plot.hellinger | Plot method for hellinger objects |
| plot.hitting_rate | Plot method for hitting_rate objects |
| plot.ims | Plot method for ims objects |
| plot.individual_risk | Plot method for individual_risk objects |
| plot.kanonymity | Plot method for kanonymity objects |
| plot.ldiversityRisk | Plot method for ldiversityRisk objects |
| plot.linkability | Plot method for linkability objects |
| plot.mia | Plot method for mia objects |
| plot.missingCompare | Plot method for missingCompare objects |
| plot.mmd | Plot method for mmd objects |
| plot.mqs | Plot method for mqs objects |
| plot.nnaa | Plot method for nnaa objects |
| plot.nndr | Plot method for nndr objects |
| plot.pMSE | Plot method for pMSE objects |
| plot.population_uniqueness | Plot method for population_uniqueness objects |
| plot.propscore | Plot method for propscore objects |
| plot.rapid | Plot method for rapid objects |
| plot.rapid_threshold | Data-Driven Threshold Selection for RAPID |
| plot.recordLinkageRisk | Plot method for recordLinkageRisk |
| plot.regression_fidelity | Plot method for regression_fidelity objects |
| plot.rf_privacy | RF Proximity Privacy Assessment |
| plot.rumap | Plot method for rumap objects |
| plot.singling_out | Plot method for singling_out objects |
| plot.specks | Plot method for specks objects |
| plot.subgroup_utility | Plot method for subgroup_utility objects |
| plot.suda | Plot method for suda objects |
| plot.tail_fidelity | Plot method for tail_fidelity objects |
| plot.tcap | Plot method for tcap objects |
| plot.tcloseness | Plot method for tcloseness objects |
| plot.tstr | Train on Synthetic, Test on Real (TSTR) Utility Measure |
| plot.weap | Plot method for weap objects |
| pMSE | Propensity Score Mean Squared Error (pMSE) Utility Measure |
| pMSE.default | Propensity Score Mean Squared Error (pMSE) Utility Measure |
| pMSE.synth_pair | Propensity Score Mean Squared Error (pMSE) Utility Measure |
| population_uniqueness | Population Uniqueness Risk |
| population_uniqueness.default | Population Uniqueness Risk |
| population_uniqueness.synth_pair | Population Uniqueness Risk |
| positive_information_disclosure | Positive Information Disclosure (PID) |
| print.attacker_risk | Print method for attacker_risk objects |
| print.chisq_utility | Print method for chisq_utility objects |
| print.ci_proximity | Print method for ci_proximity objects |
| print.compare_distributions_cont | Print method for compare_distributions_cont objects |
| print.compare_feature_importance | Print method for compare_feature_importance objects |
| print.contingency_fidelity | Print method for contingency_fidelity objects |
| print.copula_fidelity | Print method for copula_fidelity objects |
| print.dcap | Print method for dcap objects |
| print.dcr | Print method for dcr objects |
| print.delta_presence | Print method for delta_presence objects |
| print.denpca | Print method for denpca objects |
| print.denratio | Print method for denratio objects |
| print.disclosure_report | Print method for disclosure_report objects |
| print.disco | Print method for disco objects |
| print.domias | Print method for domias objects |
| print.drisk | Print method for drisk objects |
| print.energy_distance | Print method for energy_distance objects |
| print.epsilon_identifiability | Print method for epsilon_identifiability objects |
| print.gower | Print method for gower objects |
| print.hellinger | Print method for hellinger objects |
| print.hitting_rate | Print method for hitting_rate objects |
| print.ims | Print method for ims objects |
| print.individual_risk | Print method for individual_risk objects |
| print.inspect_record | Inspect a Single Record's Linkage Detail |
| print.kanonymity | Print method for kanonymity objects |
| print.ldiversityRisk | Print method for ldiversityRisk objects |
| print.linkability | Print method for linkability objects |
| print.mia | Print method for mia objects |
| print.missingCompare | Print method for missingCompare objects |
| print.mmd | Print method for mmd objects |
| print.mqs | Print method for mqs objects |
| print.nnaa | Print method for nnaa objects |
| print.nndr | Print method for nndr objects |
| print.pMSE | Print method for pMSE objects |
| print.population_uniqueness | Print method for population_uniqueness objects |
| print.propscore | Print method for propscore objects |
| print.rapid | Print method for rapid objects |
| print.rapid_cv | Cross-Validation of Synthesizer Disclosure Risk |
| print.rapid_test | Permutation Test for RAPID Disclosure Risk |
| print.rapid_threshold | Data-Driven Threshold Selection for RAPID |
| print.recordLinkageRisk | Print method for recordLinkageRisk |
| print.regression_fidelity | Print method for regression_fidelity objects |
| print.rf_privacy | RF Proximity Privacy Assessment |
| print.rumap | Print method for rumap objects |
| print.singling_out | Print method for singling_out objects |
| print.specks | Print method for specks objects |
| print.subgroup_utility | Print method for subgroup_utility objects |
| print.suda | Print method for suda objects |
| print.summary.attacker_risk | Print method for summary.attacker_risk objects |
| print.summary.chisq_utility | Print method for summary.chisq_utility objects |
| print.summary.ci_proximity | Print method for summary.ci_proximity objects |
| print.summary.compare_distributions_cont | Print method for summary.compare_distributions_cont objects |
| print.summary.compare_feature_importance | Print method for summary.compare_feature_importance objects |
| print.summary.contingency_fidelity | Print method for summary.contingency_fidelity objects |
| print.summary.copula_fidelity | Print method for summary.copula_fidelity objects |
| print.summary.dcap | Print method for summary.dcap objects |
| print.summary.dcr | Print method for summary.dcr objects |
| print.summary.delta_presence | Print method for summary.delta_presence objects |
| print.summary.denpca | Print method for summary.denpca objects |
| print.summary.denratio | Print method for summary.denratio objects |
| print.summary.disclosure_report | Print method for summary.disclosure_report objects |
| print.summary.disco | Print method for summary.disco objects |
| print.summary.domias | Print method for summary.domias objects |
| print.summary.drisk | Print method for summary.drisk objects |
| print.summary.energy_distance | Print method for summary.energy_distance objects |
| print.summary.epsilon_identifiability | Print method for summary.epsilon_identifiability objects |
| print.summary.gower | Print method for summary.gower objects |
| print.summary.hellinger | Print method for summary.hellinger objects |
| print.summary.hitting_rate | Print method for summary.hitting_rate objects |
| print.summary.ims | Print method for summary.ims objects |
| print.summary.individual_risk | Print method for summary.individual_risk objects |
| print.summary.kanonymity | Print method for summary.kanonymity objects |
| print.summary.ldiversityRisk | Print method for summary.ldiversityRisk objects |
| print.summary.linkability | Print method for summary.linkability objects |
| print.summary.mia | Print method for summary.mia objects |
| print.summary.missingCompare | Print method for summary.missingCompare objects |
| print.summary.mmd | Print method for summary.mmd objects |
| print.summary.mqs | Print method for summary.mqs objects |
| print.summary.nnaa | Print method for summary.nnaa objects |
| print.summary.nndr | Print method for summary.nndr objects |
| print.summary.pMSE | Print method for summary.pMSE objects |
| print.summary.population_uniqueness | Print method for summary.population_uniqueness objects |
| print.summary.propscore | Print method for summary.propscore objects |
| print.summary.rapid | Print method for summary.rapid objects |
| print.summary.rapid_cv | Print method for summary.rapid_cv objects |
| print.summary.rapid_test | Print method for summary.rapid_test objects |
| print.summary.rapid_threshold | Print method for summary.rapid_threshold objects |
| print.summary.recordLinkageRisk | Print method for summary.recordLinkageRisk |
| print.summary.regression_fidelity | Print method for summary.regression_fidelity objects |
| print.summary.rf_privacy | RF Proximity Privacy Assessment |
| print.summary.rumap | Print method for summary.rumap objects |
| print.summary.singling_out | Print method for summary.singling_out objects |
| print.summary.specks | Print method for summary.specks objects |
| print.summary.subgroup_utility | Print method for summary.subgroup_utility objects |
| print.summary.suda | Print method for summary.suda objects |
| print.summary.synth_pair | Print method for summary.synth_pair objects |
| print.summary.tail_fidelity | Print method for summary.tail_fidelity objects |
| print.summary.tcap | Print method for summary.tcap objects |
| print.summary.tcloseness | Print method for summary.tcloseness objects |
| print.summary.tstr | Train on Synthetic, Test on Real (TSTR) Utility Measure |
| print.summary.weap | Print method for summary.weap objects |
| print.synth_pair | Print method for synth_pair objects |
| print.tail_fidelity | Print method for tail_fidelity objects |
| print.tcap | Print method for tcap objects |
| print.tcloseness | Print method for tcloseness objects |
| print.tstr | Train on Synthetic, Test on Real (TSTR) Utility Measure |
| print.weap | Print method for weap objects |
| privacy_score | Privacy Score |
| propscore | Propensity score utility measure |
| propscore.default | Propensity score utility measure |
| propscore.synth_pair | Propensity score utility measure |
-- R --
| rapid | RAPID: Risk of Attribute Prediction-Induced Disclosure |
| rapid.default | RAPID: Risk of Attribute Prediction-Induced Disclosure |
| rapid.synth_pair | RAPID: Risk of Attribute Prediction-Induced Disclosure |
| rapid_synthesizer_cv | Cross-Validation of Synthesizer Disclosure Risk |
| rapid_test | Permutation Test for RAPID Disclosure Risk |
| rapid_threshold_select | Data-Driven Threshold Selection for RAPID |
| recordLinkage | Record Linkage Risk After Perturbation |
| recordLinkage.default | Record Linkage Risk After Perturbation |
| recordLinkage.synth_pair | Record Linkage Risk After Perturbation |
| regression_fidelity | Regression Fidelity — Coefficient Comparison |
| regression_fidelity.default | Regression Fidelity — Coefficient Comparison |
| regression_fidelity.synth_pair | Regression Fidelity — Coefficient Comparison |
| RenyiEntropy | Additional Entropy-Based Privacy Measures |
| repu | Replicated Uniques (RepU) |
| rf_privacy | RF Proximity Privacy Assessment |
| rf_privacy.default | RF Proximity Privacy Assessment |
| rf_privacy.synth_pair | RF Proximity Privacy Assessment |
| riskutility | riskutility: Disclosure Risk and Data Utility for Anonymized and Synthetic Data |
| risk_by_group | Aggregate Risk by Group |
| risk_by_group.recordLinkageRisk | Aggregate Risk by Group |
| rmse | Evaluation statistics |
| rumap | Multivariate Risk-Utility Map (RU-Map) |
| rumap.default | Multivariate Risk-Utility Map (RU-Map) |
| rumap.synth_pair | Multivariate Risk-Utility Map (RU-Map) |
-- S --
| singling_out | Singling Out Risk |
| singling_out.default | Singling Out Risk |
| singling_out.synth_pair | Singling Out Risk |
| specks | SPECKS - Propensity Score Comparison via Kolmogorov-Smirnov Test |
| specks.default | SPECKS - Propensity Score Comparison via Kolmogorov-Smirnov Test |
| specks.synth_pair | SPECKS - Propensity Score Comparison via Kolmogorov-Smirnov Test |
| subgroup_utility | Stratified Utility Assessment Across Subgroups |
| subgroup_utility.default | Stratified Utility Assessment Across Subgroups |
| subgroup_utility.synth_pair | Stratified Utility Assessment Across Subgroups |
| suda | SUDA - Special Uniques Detection Algorithm |
| suda.default | SUDA - Special Uniques Detection Algorithm |
| suda.synth_pair | SUDA - Special Uniques Detection Algorithm |
| summary.attacker_risk | Summary method for attacker_risk objects |
| summary.chisq_utility | Summary method for chisq_utility objects |
| summary.ci_proximity | Summary method for ci_proximity objects |
| summary.compare_distributions_cont | Summary method for compare_distributions_cont objects |
| summary.compare_feature_importance | Summary method for compare_feature_importance objects |
| summary.contingency_fidelity | Summary method for contingency_fidelity objects |
| summary.copula_fidelity | Summary method for copula_fidelity objects |
| summary.dcap | Summary method for dcap objects |
| summary.dcr | Summary method for dcr objects |
| summary.delta_presence | Summary method for delta_presence objects |
| summary.denpca | Summary method for denpca objects |
| summary.denratio | Summary method for denratio objects |
| summary.disclosure_report | Summary method for disclosure_report objects |
| summary.disco | Summary method for disco objects |
| summary.domias | Summary method for domias objects |
| summary.drisk | Summary method for drisk objects |
| summary.energy_distance | Summary method for energy_distance objects |
| summary.epsilon_identifiability | Summary method for epsilon_identifiability objects |
| summary.gower | Summary method for gower objects |
| summary.hellinger | Summary method for hellinger objects |
| summary.hitting_rate | Summary method for hitting_rate objects |
| summary.ims | Summary method for ims objects |
| summary.individual_risk | Summary method for individual_risk objects |
| summary.kanonymity | Summary method for kanonymity objects |
| summary.ldiversityRisk | Summary method for ldiversityRisk objects |
| summary.linkability | Summary method for linkability objects |
| summary.mia | Summary method for mia objects |
| summary.missingCompare | Summary method for missingCompare objects |
| summary.mmd | Summary method for mmd objects |
| summary.mqs | Summary method for mqs objects |
| summary.nnaa | Summary method for nnaa objects |
| summary.nndr | Summary method for nndr objects |
| summary.pMSE | Summary method for pMSE objects |
| summary.population_uniqueness | Summary method for population_uniqueness objects |
| summary.propscore | Summary method for propscore objects |
| summary.rapid | Summary method for rapid objects |
| summary.rapid_cv | Summary method for rapid_cv objects |
| summary.rapid_test | Summary method for rapid_test objects |
| summary.rapid_threshold | Summary method for rapid_threshold objects |
| summary.recordLinkageRisk | Summary method for recordLinkageRisk |
| summary.regression_fidelity | Summary method for regression_fidelity objects |
| summary.rf_privacy | RF Proximity Privacy Assessment |
| summary.rumap | Summary method for rumap objects |
| summary.singling_out | Summary method for singling_out objects |
| summary.specks | Summary method for specks objects |
| summary.subgroup_utility | Summary method for subgroup_utility objects |
| summary.suda | Summary method for suda objects |
| summary.synth_pair | Summary method for synth_pair objects |
| summary.tail_fidelity | Summary method for tail_fidelity objects |
| summary.tcap | Summary method for tcap objects |
| summary.tcloseness | Summary method for tcloseness objects |
| summary.tstr | Train on Synthetic, Test on Real (TSTR) Utility Measure |
| summary.weap | Summary method for weap objects |
| synth_pair | Create a Synthetic Data Comparison Pair |
| systemAnonymityLevel | System Anonymity Level |
-- T --
| tail_fidelity | Tail Fidelity — Tail Preservation Utility Measure |
| tail_fidelity.default | Tail Fidelity — Tail Preservation Utility Measure |
| tail_fidelity.synth_pair | Tail Fidelity — Tail Preservation Utility Measure |
| tcap | Targeted Correct Attribution Probability (TCAP) |
| tcap.default | Targeted Correct Attribution Probability (TCAP) |
| tcap.synth_pair | Targeted Correct Attribution Probability (TCAP) |
| tcloseness | t-Closeness Assessment |
| tcloseness.default | t-Closeness Assessment |
| tcloseness.synth_pair | t-Closeness Assessment |
| top_at_risk | Return Highest-Risk Records |
| top_at_risk.recordLinkageRisk | Return Highest-Risk Records |
| tstr | Train on Synthetic, Test on Real (TSTR) Utility Measure |
| tstr.default | Train on Synthetic, Test on Real (TSTR) Utility Measure |
| tstr.synth_pair | Train on Synthetic, Test on Real (TSTR) Utility Measure |
-- W --
| weap | Within Equivalence Class Attribution Probability (WEAP) |
| weap.default | Within Equivalence Class Attribution Probability (WEAP) |
| weap.synth_pair | Within Equivalence Class Attribution Probability (WEAP) |