CaDENCE: Conditional Density Estimation Network Construction and Evaluation
Version 1.2.4

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, and the like.

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AuthorAlex J. Cannon
Date of publication2017-03-23 21:05:02 UTC
MaintainerAlex J. Cannon <alex.cannon@canada.ca>
LicenseGPL-2
Version1.2.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("CaDENCE")

Man pages

bgamma: Bernoulli-gamma distribution
blnorm: Bernoulli-lognormal distribution
bweibull: Bernoulli-Weibull distribution
cadence.cost: Cost function for CDEN model fitting
cadence.fit: Fit a CDEN model
cadence.initialize: Initialize a CDEN weight vector
CaDENCE-package: Conditional Density Estimation Network Construction and...
cadence.predict: Predict conditional distribution parameters from a fitted...
dummy.code: Convert a factor to a matrix of dummy codes
FraserSediment: Sediment and stream discharge data for Fraser River at Hope
gam.style: GAM-style effects plots for interpreting CDEN models
logistic: Logistic sigmoid function
pareto2: Pareto 2 (Lomax) and Bernoulli-Pareto 2 distributions
rbf: Radial basis function kernel
rprop: Resilient backpropagation (Rprop) optimization algorithm
xval.buffer: Cross-validation indices with a buffer between...

Functions

CaDENCE Man page
CaDENCE-package Man page
FraserSediment Man page
bgamma Man page
blnorm Man page
bpareto2 Man page
bweibull Man page
cadence.cost Man page Source code
cadence.evaluate Man page Source code
cadence.fit Man page Source code
cadence.initialize Man page Source code
cadence.predict Man page Source code
cadence.reshape Man page Source code
dbgamma Man page Source code
dblnorm Man page Source code
dbpareto2 Man page Source code
dbweibull Man page Source code
dpareto2 Man page Source code
dummy.code Man page Source code
gam.style Man page Source code
logistic Man page Source code
pareto2 Man page
pbgamma Man page Source code
pblnorm Man page Source code
pbpareto2 Man page Source code
pbweibull Man page Source code
ppareto2 Man page Source code
qbgamma Man page Source code
qblnorm Man page Source code
qbpareto2 Man page Source code
qbweibull Man page Source code
qpareto2 Man page Source code
rbf Man page Source code
rbgamma Man page Source code
rblnorm Man page Source code
rbpareto2 Man page Source code
rbweibull Man page Source code
rpareto2 Man page Source code
rprop Man page Source code
xval.buffer Man page Source code

Files

inst
inst/CITATION
NAMESPACE
data
data/FraserSediment.rda
R
R/cadence.initialize.R
R/dpareto2.R
R/cadence.cost.R
R/pbpareto2.R
R/pblnorm.R
R/dbweibull.R
R/qbpareto2.R
R/rpareto2.R
R/qblnorm.R
R/pbweibull.R
R/rbf.R
R/qbgamma.R
R/cadence.predict.R
R/qpareto2.R
R/dblnorm.R
R/cadence.fit.R
R/rbgamma.R
R/rprop.R
R/xval.buffer.R
R/rblnorm.R
R/gam.style.R
R/dbpareto2.R
R/rbweibull.R
R/qbweibull.R
R/rbpareto2.R
R/dummy.code.R
R/logistic.R
R/pbgamma.R
R/cadence.evaluate.R
R/cadence.reshape.R
R/dbgamma.R
R/ppareto2.R
MD5
DESCRIPTION
man
man/pareto2.Rd
man/gam.style.Rd
man/CaDENCE-package.Rd
man/rprop.Rd
man/rbf.Rd
man/dummy.code.Rd
man/logistic.Rd
man/cadence.fit.Rd
man/blnorm.Rd
man/cadence.cost.Rd
man/bweibull.Rd
man/cadence.initialize.Rd
man/bgamma.Rd
man/xval.buffer.Rd
man/FraserSediment.Rd
man/cadence.predict.Rd
CaDENCE documentation built on May 19, 2017, 9:20 a.m.