CaDENCE: Conditional Density Estimation Network Construction and Evaluation
Version 1.2.4

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, and the like.

Package details

AuthorAlex J. Cannon
Date of publication2017-03-23 21:05:02 UTC
MaintainerAlex J. Cannon <[email protected]>
LicenseGPL-2
Version1.2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CaDENCE")

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CaDENCE documentation built on May 29, 2017, 11:51 a.m.