# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "RFpredInterval" in publications use:' type: software license: GPL-3.0-or-later title: 'RFpredInterval: Prediction Intervals with Random Forests and Boosted Forests' version: 1.0.8 doi: 10.32614/CRAN.package.RFpredInterval abstract: '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) and rfpi() builds 15 distinct variations of prediction intervals with random forests (RFPI) proposed by Roy and Larocque (2020) .' authors: - family-names: Alakus given-names: Cansu email: cansu.alakus@hec.ca - family-names: Larocque given-names: Denis email: denis.larocque@hec.ca - family-names: Labbe given-names: Aurelie email: aurelie.labbe@hec.ca repository: https://CRAN.R-project.org/package=RFpredInterval repository-code: https://github.com/calakus/RFpredInterval url: https://github.com/calakus/RFpredInterval date-released: '2023-12-07' contact: - family-names: Alakus given-names: Cansu email: cansu.alakus@hec.ca