Synthetic Tabular Data Generation with Gaussian Copulas

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Documentation for package ‘rsdv’ version 0.1.0

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

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add_constraint	Add a constraint to metadata
adult_income	Adult Income dataset (500-row sample)
attribute_disclosure_risk	Attribute disclosure risk
autoplot.rsdv_diagnostic_report	Plot a diagnostic report
autoplot.rsdv_privacy_report	Plot a privacy report
autoplot.rsdv_quality_report	Plot a quality report
check_constraint	Check a single constraint against each row of a data frame
check_constraints	Check all constraints in metadata against a data frame
contingency_similarity	Contingency similarity between real and synthetic categorical column pairs
correlation_similarity	Correlation similarity between real and synthetic numerical column pairs
custom_constraint	Constraint: arbitrary row-wise predicate
diagnostic_report	Generate a diagnostic (validity) report for synthetic data
equality_constraint	Constraint: two columns must be equal row-wise
fixed_combinations_constraint	Constraint: only observed column combinations are valid
gaussian_copula_synthesizer	Create a Gaussian Copula synthesizer
inequality_constraint	Constraint: col_a must be less than / greater than col_b
is_fitted	Check whether a synthesizer has been fitted
ks_similarity	Kolmogorov-Smirnov similarity score per numerical column
load_metadata	Load metadata from a JSON file
metadata	Create a metadata object describing a dataset's column types
metadata_from_json	Deserialize metadata from a JSON string
metadata_to_json	Serialize metadata to a JSON string
ml_efficacy	ML efficacy: train-on-synthetic / test-on-real accuracy ratio (TSTR)
nndr	Nearest-Neighbor Distance Ratio privacy score
print.rsdv_diagnostic_report	Print method for rsdv_diagnostic_report
print.rsdv_metadata	Print method for rsdv_metadata
print.rsdv_privacy_report	Print method for rsdv_privacy_report
print.rsdv_quality_report	Print method for rsdv_quality_report
privacy_report	Generate a privacy report comparing real and synthetic data
quality_report	Generate a quality report comparing real and synthetic data
sample	Sample synthetic rows from a fitted synthesizer
sample_conditions	Sample synthetic rows that match fixed column values (conditional sampling)
save_metadata	Save metadata to a JSON file
set_column_type	Set the type of a column in metadata
set_primary_key	Set the primary key column of the metadata
tvd_similarity	Total variation distance similarity score per categorical column
validate_data	Validate that a data frame is compatible with metadata