The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 1.2.5 |
| Depends: | pso |
| Suggests: | boot |
| Published: | 2017-12-05 |
| Author: | Alex J. Cannon |
| Maintainer: | Alex J. Cannon <alex.cannon at canada.ca> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | CaDENCE citation info |
| In views: | Distributions |
| CRAN checks: | CaDENCE results |
| Reference manual: | CaDENCE.pdf |
| Package source: | CaDENCE_1.2.5.tar.gz |
| Windows binaries: | r-devel: CaDENCE_1.2.5.zip, r-release: CaDENCE_1.2.5.zip, r-oldrel: CaDENCE_1.2.5.zip |
| macOS binaries: | r-release (arm64): CaDENCE_1.2.5.tgz, r-oldrel (arm64): CaDENCE_1.2.5.tgz, r-release (x86_64): CaDENCE_1.2.5.tgz, r-oldrel (x86_64): CaDENCE_1.2.5.tgz |
| Old sources: | CaDENCE archive |
Please use the canonical form https://CRAN.R-project.org/package=CaDENCE to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.