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Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, etc. following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.
Package details |
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Author | Alex J. Cannon |
Maintainer | Alex J. Cannon <alex.cannon@canada.ca> |
License | GPL-2 |
Version | 1.2.5 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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