Package: RFpredInterval
Type: Package
Title: Prediction Intervals with Random Forests and Boosted Forests
Version: 1.0.8
Authors@R: 
    c(person(given = "Cansu", family = "Alakus", role = c("aut", "cre"), email = "cansu.alakus@hec.ca"),
      person(given = "Denis", family = "Larocque", role = c("aut"), email = "denis.larocque@hec.ca"),
      person(given = "Aurelie", family = "Labbe", role = c("aut"), email = "aurelie.labbe@hec.ca"),
      person(given = "Hemant", family = "Ishwaran", role = c("ctb"), comment = "Author of included randomForestSRC codes"),
      person(given = "Udaya B.", family = "Kogalur", role = c("ctb"), comment = "Author of included randomForestSRC codes"))
Description: 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>.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
Imports: ranger, data.table, hdrcde, parallel, data.tree, DiagrammeR
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/calakus/RFpredInterval
BugReports: https://github.com/calakus/RFpredInterval/issues
NeedsCompilation: yes
Packaged: 2023-12-07 21:27:40 UTC; cansualakus
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@hec.ca>
Repository: CRAN
Date/Publication: 2023-12-07 22:00:02 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-12-08 00:09:25 UTC; unix
Archs: RFpredInterval.so.dSYM
