Package: CaDENCE
Type: Package
Title: Conditional Density Estimation Network Construction and
Evaluation
Version: 1.2.3
Author: Alex J. Cannon
Maintainer: Alex J. Cannon <acannon@eos.ubc.ca>
Description: 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.
License: GPL-2
Suggests: boot
Depends: pso
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-07-23 06:57:04
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