| SynthesizerPlus::augmentation | Augmenting small training sets for machine learning | HTML | source | R code | |
| SynthesizerPlus::closeness | Controlling how close synthetic data are to the real data | HTML | source | R code | |
| SynthesizerPlus::evaluating-synthetic-data | Evaluating and visualising synthetic data | HTML | source | R code | |
| SynthesizerPlus::file-formats | Reading and writing data: CSV, Parquet, HDF5 and more | HTML | source | R code | |
| SynthesizerPlus::getting-started | Getting started with SynthesizerPlus | HTML | source | R code | |
| SynthesizerPlus::multivariate-distributions | Generating data from multivariate distributions | HTML | source | R code | |
| SynthesizerPlus::privacy | Releasing confidential microdata as synthetic data | HTML | source | R code | |
| SynthesizerPlus::regularisation | Regularising high-variance models with synthetic data | HTML | source | R code | |
| SynthesizerPlus::time-series | Synthetic time series | HTML | source | R code |