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
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.zip, r-release: qrnn_2.1.zip, r-oldrel: qrnn_2.1.zip
macOS binaries: r-release (arm64): qrnn_2.1.tgz, r-oldrel (arm64): qrnn_2.1.tgz, r-release (x86_64): qrnn_2.1.tgz
Old sources: qrnn archive

Reverse dependencies:

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

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