CaDENCE: Conditional Density Estimation Network Construction and Evaluation
Version 1.2.5

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) .

Package details

AuthorAlex J. Cannon
Date of publication2017-12-05 04:05:17 UTC
MaintainerAlex J. Cannon <[email protected]>
Package repositoryView on CRAN
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CaDENCE documentation built on Dec. 5, 2017, 9:03 a.m.