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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>.
| Version: | 1.0.8 |
| Depends: | R (≥ 3.6.0) |
| Imports: | ranger, data.table, hdrcde, parallel, data.tree, DiagrammeR |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2023-12-07 |
| Author: | Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] (Author of included randomForestSRC codes), Udaya B. Kogalur [ctb] (Author of included randomForestSRC codes) |
| Maintainer: | Cansu Alakus <cansu.alakus at hec.ca> |
| BugReports: | https://github.com/calakus/RFpredInterval/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/calakus/RFpredInterval |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | RFpredInterval results |
| Reference manual: | RFpredInterval.pdf |
| Package source: | RFpredInterval_1.0.8.tar.gz |
| Windows binaries: | r-devel: RFpredInterval_1.0.8.zip, r-release: RFpredInterval_1.0.8.zip, r-oldrel: RFpredInterval_1.0.8.zip |
| macOS binaries: | r-release (arm64): RFpredInterval_1.0.8.tgz, r-oldrel (arm64): RFpredInterval_1.0.8.tgz, r-release (x86_64): RFpredInterval_1.0.8.tgz, r-oldrel (x86_64): RFpredInterval_1.0.8.tgz |
| Old sources: | RFpredInterval archive |
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