CRAN/E | RFpredInterval

RFpredInterval

Prediction Intervals with Random Forests and Boosted Forests

Installation

About

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.

github.com/calakus/RFpredInterval
Bug report File report

Key Metrics

Version 1.0.8
R ≥ 3.6.0
Published 2023-12-07 147 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks RFpredInterval results

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Maintainer

Maintainer

Cansu Alakus

cansu.alakus@hec.ca

Authors

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)

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RFpredInterval archive

Depends

R ≥ 3.6.0

Imports

ranger
data.table
hdrcde
parallel
data.tree
DiagrammeR

Suggests

knitr
rmarkdown
testthat