Package: CaDENCE
Type: Package
Title: Conditional Density Estimation Network Construction and
        Evaluation
Version: 1.2.5
Author: Alex J. Cannon
Maintainer: Alex J. Cannon <alex.cannon@canada.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, etc. following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.
License: GPL-2
Suggests: boot
Depends: pso
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2017-12-04 22:54:00 UTC; ECPACIFIC+cannona
Date/Publication: 2017-12-05 04:05:17 UTC
Built: R 4.3.3; ; 2025-01-24 15:01:25 UTC; unix
