The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.

qrnn: Quantile Regression Neural Network

Fit quantile regression neural network models with optional left censoring, partial monotonicity constraints, generalized additive model constraints, and the ability to fit multiple non-crossing quantile functions following Cannon (2011) <doi:10.1016/j.cageo.2010.07.005> and Cannon (2018) <doi:10.1007/s00477-018-1573-6>.

Version: 2.1.1
Published: 2024-02-29
DOI: 10.32614/CRAN.package.qrnn
Author: Alex J. Cannon ORCID iD [aut, cre]
Maintainer: Alex J. Cannon <alex.cannon at ec.gc.ca>
License: GPL-2
NeedsCompilation: no
Citation: qrnn citation info
Materials: README
CRAN checks: qrnn results

Documentation:

Reference manual: qrnn.pdf

Downloads:

Package source: qrnn_2.1.1.tar.gz
Windows binaries: r-devel: qrnn_2.1.1.zip, r-release: qrnn_2.1.1.zip, r-oldrel: qrnn_2.1.1.zip
macOS binaries: r-release (arm64): qrnn_2.1.1.tgz, r-oldrel (arm64): qrnn_2.1.1.tgz, r-release (x86_64): qrnn_2.1.1.tgz, r-oldrel (x86_64): qrnn_2.1.1.tgz
Old sources: qrnn archive

Reverse dependencies:

Reverse imports: fairadapt, geomod
Reverse suggests: fscaret, soilassessment

Linking:

Please use the canonical form https://CRAN.R-project.org/package=qrnn 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.