If you’re estimating multiple domains and variables, repeating compositing, capping, and declustering steps for every domained estimator can become time-consuming and introduce data handling risk.
This white paper explores how the new data preparation workflow in Leapfrog Edge decouples these steps from downstream estimators, creating reusable estimation datasets, which propagate dynamically across estimators to which they are applied. This shift facilitates complex, multi-domain setups while improving transparency throughout the estimation process.
