CaDENCE: Conditional Density Estimation Network Construction and Evaluation

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

AuthorAlex J. Cannon
MaintainerAlex J. Cannon <>
Package repositoryView on CRAN
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CaDENCE documentation built on May 2, 2019, 6:05 a.m.