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Parameters of a userspecified probability distribution are modelled by a multilayer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zeroinflated models, etc. following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.
Package details 


Author  Alex J. Cannon 
Maintainer  Alex J. Cannon <alex.cannon@canada.ca> 
License  GPL2 
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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