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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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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) <https://doi.org/10.32614/RJ-2022-012>
  and rfpi() builds 15 distinct variations of prediction intervals with random forests
  (RFPI) proposed by Roy and Larocque (2020) <https://doi.org/10.1177/0962280219829885>.'
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://cranhaven.r-universe.dev
repository-code: https://github.com/calakus/RFpredInterval
commit: a5b2a349c4f6abce9c1632c140ed8ff8b2f990d4
url: https://github.com/calakus/RFpredInterval
date-released: '2023-12-07'
contact:
- family-names: Alakus
  given-names: Cansu
  email: cansu.alakus@hec.ca