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Prediction Intervals with Random Forests and Boosted Forests
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | RFpredInterval |
Prediction Intervals with Random Forests and Boosted Forests |
Statements
7 December 2023
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Implements various prediction interval methods with random forests and boosted forests. The package has two main functions: pibf() produces prediction intervals with boosted forests (PIBF) as described in Alakus et al. (2022) <doi:10.32614/RJ-2022-012> and rfpi() builds 15 distinct variations of prediction intervals with random forests (RFPI) proposed by Roy and Larocque (2020) <doi:10.1177/0962280219829885>.
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