RFpredInterval
Prediction Intervals with Random Forests and Boosted Forests
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.
- Version1.0.8
- R version≥ 3.6.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release12/07/2023
Documentation
Team
Cansu Alakus
Udaya B. Kogalur
Show author detailsRolesContributorDenis Larocque
Show author detailsRolesAuthorHemant Ishwaran
Show author detailsRolesContributorAurelie Labbe
Show author detailsRolesAuthor
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- Imports5 packages
- Suggests3 packages