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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>.
Getting started
Browse package contents
Package details |
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| Author | Alex J. Cannon [aut, cre] (<https://orcid.org/0000-0002-8025-3790>) |
| Maintainer | Alex J. Cannon <alex.cannon@canada.ca> |
| License | GPL-2 |
| Version | 2.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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