R: Synthetic Tabular Data Generation with Gaussian Copulas

# Synthetic Tabular Data Generation with Gaussian Copulas

## Documentation for package ‘rsdv’ version 0.2.0

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

## Help Pages

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.custom_constraint | Print method for a custom_constraint
print.equality_constraint | Print method for an equality_constraint
print.fixed_combinations_constraint | Print method for a fixed_combinations_constraint
print.inequality_constraint | Print method for an inequality_constraint
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