Vignettes and other documentation

[Up] [Top]

Vignettes from package 'SynthesizerPlus'

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::hybrid-nonlinear Hybrid copula and conditional CART/GAM synthesis for nonlinear relationships HTML source R code
SynthesizerPlus::multivariate-distributions Generating data from multivariate distributions HTML source R code
SynthesizerPlus::nominal-synthesis Nominal conditional synthesis (experimental) 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