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>.
|Author||Alex J. Cannon|
|Maintainer||Alex J. Cannon <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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