Conditional Density Estimation Network Construction and Evaluation
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Alex J. Cannon <alex.cannon@canada.ca>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = c("Alex", "J."),
family = "Cannon",
role = c("aut", "cre"),
email = "alex.cannon@canada.ca")
as necessary.
Package CITATION file contains call(s) to old-style citEntry(). Please
use bibentry() instead.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 16includes a package overview page
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 64%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 44%
Downloads
Dependencies
Installing CaDENCE adds 1 package (0 with compiled code, 13 KB of source tarballs). Heaviest: pso 13 KB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
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- RR 4.3.0 released · 2023-04-21
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- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.2.5Latest
- RR 3.4.0 released · 2017-04-21
- 1.2.42017-03-23 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 1.2.32015-07-23 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 1.2.22015-02-21 · diff ↗
Package metadata
- First published
- 2013-02-09
- Total releases
- 7 / 13 yrs
- License
- GPL-2 OSI
- Bundled data
- 49 KB / 1 file
- Download size
- 68 KB
Cite
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Run in R for the authors' entry:
citation("CaDENCE")The package provides a citation file, so citation() returns the authors' own entry.
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