The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rfinterval to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.