I recently discovered the themis package as part of the TidyModels framework. I really like the approach of themis as it creates great additions to the already extensive recipe package.
The themis package is great when one needs to account for categorical data imbalances, however, it is not immediately clear to me how it might be used for continuous data.
See here also a great source for the issues that arise with continuous data imbalances: https://towardsdatascience.com/strategies-and-tactics-for-regression-on-imbalanced-data-61eeb0921fca
My question is: Does the themis package have functions that are relevant for dealing with continuous data imbalance? – and if not, are there similar functions from alternative packages that allow for adding recipe steps to account for continuous data imbalances?