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: 2.0.3
Published: 2018-06-26
Author: Alex J. Cannon ORCID iD [aut, cre]
Maintainer: Alex J. Cannon <alex.cannon at canada.ca>
License: GPL-2
NeedsCompilation: no
Citation: qrnn citation info
CRAN checks: qrnn results


Reference manual: qrnn.pdf
Package source: qrnn_2.0.3.tar.gz
Windows binaries: r-devel: qrnn_2.0.3.zip, r-release: qrnn_2.0.3.zip, r-oldrel: qrnn_2.0.3.zip
OS X binaries: r-release: qrnn_2.0.3.tgz, r-oldrel: qrnn_2.0.3.tgz
Old sources: qrnn archive

Reverse dependencies:

Reverse imports: DHARMa
Reverse suggests: fscaret


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