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CaDENCE  

Conditional Density Estimation Network Construction and Evaluation
View on CRAN: Click here


Download and install CaDENCE package within the R console
Install from CRAN:
install.packages("CaDENCE")

Install from Github:
library("remotes")
install_github("cran/CaDENCE")

Install by package version:
library("remotes")
install_version("CaDENCE", "1.2.5")



Attach the package and use:
library("CaDENCE")
Maintained by
Alex J. Cannon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-09
Latest Update: 2017-12-05
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) .
How to cite:
Alex J. Cannon (2013). CaDENCE: Conditional Density Estimation Network Construction and Evaluation. R package version 1.2.5, https://cran.r-project.org/web/packages/CaDENCE. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.1.1 (2013-02-09 08:14), 1.2.0 (2013-06-27 22:32), 1.2.1 (2013-06-28 07:11), 1.2.2 (2015-02-21 00:01), 1.2.3 (2015-07-23 06:57), 1.2.4 (2017-03-23 22:05)
Other packages that cited CaDENCE R package
View CaDENCE citation profile
Other R packages that CaDENCE depends, imports, suggests or enhances
Complete documentation for CaDENCE
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