R: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data

# Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data

## Documentation for package ‘riskutility’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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)