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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

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.