RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests

Like many predictive models, random forests provide point predictions for new observations. Besides the prediction, it is important to quantify uncertainty in prediction. Prediction intervals information about reliability of predictions. We have developed a comprehensive R package, [RFpredInterval](https://CRAN.R-project.org/package=RFpredInterval), that integrates 16 methods build prediction with and boosted forests. The set implemented package includes method (PIBF) 15 variations produce forests, as proposed by [@roy_prediction_2020]. perform an extensive simulation study apply real data analyses compare performance ten existing building results show very competitive and, globally, outperforms competing methods.