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
Packaged: 2026-07-03 20:34:58 UTC; root
Repository: https://alexcannon.r-universe.dev
Date/Publication: 2017-12-05 03:05:17 UTC
RemoteUrl: https://github.com/cran/CaDENCE
RemoteRef: HEAD
RemoteSha: 7c754e5e408f46aa3704cdf0c06626a52a548c00