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:	2.0.5
Published:	2019-09-13
Author:	Alex J. Cannon [aut, cre]
Maintainer:	Alex J. Cannon <alex.cannon at canada.ca>
License:	GPL-2
NeedsCompilation:	no
Citation:	qrnn citation info
CRAN checks:	qrnn results

Documentation:

Reference manual:

qrnn.pdf

Downloads:

Package source:	qrnn_2.0.5.tar.gz
Windows binaries:	r-devel: qrnn_2.0.5.zip, r-release: qrnn_2.0.5.zip, r-oldrel: qrnn_2.0.5.zip
macOS binaries:	r-release (arm64): qrnn_2.0.5.tgz, r-oldrel (arm64): qrnn_2.0.5.tgz, r-release (x86_64): qrnn_2.0.5.tgz, r-oldrel (x86_64): qrnn_2.0.5.tgz
Old sources:	qrnn archive

Reverse dependencies:

Reverse imports:	fairadapt, soilassessment
Reverse suggests:	fscaret

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