R: Generation and Evaluation of Synthetic Tabular Datasets

# Generation and Evaluation of Synthetic Tabular Datasets

## Documentation for package ‘opencesp’ version 0.4.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

opencesp-package | opencesp: Generation and Evaluation of Synthetic Tabular Datasets
adaptive_matches_prop | Adaptive proportion of matches
ASDED | Average squared differences between empirical distributions
avatarize | Avatarization of a dataset
CCM_RS | Cross-classification metric in the real-synthetic order
CCM_SR | Cross-classification metric in the synthetic-real order
cor_F1 | Membership F1 metric
CRM_RS | Cross-regression metric in the real-synthetic order
CRM_SR | Cross-regression metric in the synthetic-real order
dcr | Distance to the closest record
dep_order | Dependency order in a data set
GCAP | Generalized Correct Attribution Probability (GCAP)
get_prec | Precision of numeric variables
GTCAP | Generalized Targeted Correct Attribution Probability (GTCAP)
hellinger_distance | Estimated Hellinger distance
impute_rf | Random-forest imputation
ind_blocks | Independent blocks of variables
interval_overlap | Overlap of confidence intervals
LCM | Log-cluster metric
matches_prop | Proportion of matches
mean_hellinger | Mean Hellinger distance
opencesp | opencesp: Generation and Evaluation of Synthetic Tabular Datasets
outlier_coverage | Outlier coverage
outlier_learning_factor | Outlier learning factor
PCD_cat | Pairwise correlation difference adapted for categorical data
PCD_num | Pairwise correlation difference
pgb | Parallel gradient boosting
pgb_control | Controls for PGB fits
pgb_cvh | Parallel gradient boosting with cross-validation
pMSE | Propensity score mean-squared error
pMSE_cp | Heuristics for the complexity parameter of tree-based estimation of propensity scores
predict.pgb | Predict method for PGB models
predict_cde_pgb | Predict conditional densities from PGB models
predict_cde_pgb_raw | Piecewise-constant conditional densities from PGB models
resample | Sample conditionally on vector length
round_synth | Round synthetic numeric variables to the precision observed in the original data
tsAUC | ts-AUC
univ_att_prob | Univariate correct attribution probability