Features¶
Synthia includes several software features for the generation and augmentation of multivariate data (Table 1). You can find out more about how to use these option in the examples page.
Table 1. Software features included in the latest version of Synthia for different fitting and generation methods. For correlated multivariate variables stretching and uniformization is available for copula models (^). All models support the handling of continuous variables (¹). Discrete (²) and categorical (³) variables are supported with vine copulas. All correlated multivariate methods support empirical and parametric fitting of marginal distributions
Variable relation |
Method |
Option |
---|---|---|
Univariate or Multivariate Independent |
||
Fitting |
||
Empirical |
||
Parameterized |
||
Generation |
||
Pseudo-random |
||
Quasi-random |
||
Stretching |
||
Uniformization |
||
Multivariate |
||
Fitting |
||
^¹Copula: Gaussian |
||
^¹²³Copula: Vine |
||
¹fPCA |
||
Empirical |
||
Parameterized |
||
Generation |
||
Pseudo-random |
||
Quasi-random |
||
^Stretching |
||
^Uniformization |