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) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("CaDENCE")

1.2.5 by Alex J. Cannon, 4 years ago


Browse source code at https://github.com/cran/CaDENCE


Authors: Alex J. Cannon


Documentation:   PDF Manual  


Task views: Probability Distributions


GPL-2 license


Depends on pso

Suggests boot


See at CRAN