Incremental (on-line) learning of Random Forest in R

Hi all,
Does anyone know if there is a library that provides solutions for incremental (online) learning of Random Forest in R? What I want to achieve is to train the RF model with the currently available dataset, then update the model with new data without retraining the model from scratch with the full dataset.

From a quick search on the internet, seems like this is not provided by Python scikit-learn (pickle - Incremental training of random forest model using python sklearn - Stack Overflow) and I can not find any useful relevant discussions with R. With that said, you lots of research papers can be found about incremental learning strategies with Random Forest since a decade ago.

Any inputs will be much appreciated.

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