rfinterval: Predictive Inference for Random Forests

An integrated package for constructing random forest prediction intervals using a fast implementation package 'ranger'. This package can apply the following three methods described in Haozhe Zhang, Joshua Zimmerman, Dan Nettleton, and Daniel J. Nordman (2019) <doi:10.1080/00031305.2019.1585288>: the out-of-bag prediction interval, the split conformal method, and the quantile regression forest.

Version: 1.0.0
Depends: R (≥ 3.1)
Imports: ranger, MASS
Suggests: testthat
Published: 2019-07-18
Author: Haozhe Zhang ORCID iD [aut, cre]
Maintainer: Haozhe Zhang <haozhe.stat at gmail.com>
BugReports: http://github.com/haozhestat/rfinterval/issues
License: GPL-3
URL: http://github.com/haozhestat/rfinterval
NeedsCompilation: no
Language: en-US
CRAN checks: rfinterval results

Documentation:

Reference manual: rfinterval.pdf

Downloads:

Package source: rfinterval_1.0.0.tar.gz
Windows binaries: r-devel: rfinterval_1.0.0.zip, r-release: rfinterval_1.0.0.zip, r-oldrel: rfinterval_1.0.0.zip
macOS binaries: r-release (arm64): rfinterval_1.0.0.tgz, r-oldrel (arm64): rfinterval_1.0.0.tgz, r-release (x86_64): rfinterval_1.0.0.tgz, r-oldrel (x86_64): rfinterval_1.0.0.tgz

Reverse dependencies:

Reverse suggests: piRF

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