CaDENCE (1.2.4)

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, and the like.

Maintainer: Alex J. Cannon
Author(s): Alex J. Cannon

License: GPL-2

Uses: pso, boot

Released over 2 years ago.