What is better gAUssian or cramer and why?

The choice between Gaussian and Cramér models depends on the specific application and data characteristics. Gaussian models are often preferred for their simplicity and effectiveness in handling normally distributed data, making them suitable for many statistical analyses. On the other hand, Cramér models can provide better performance when dealing with non-linear relationships or when the data does not conform to normality. Ultimately, the "better" option is context-dependent based on the nature of the data and the goals of the analysis.