matrix with number of rows equal to the number of samples and number of columns equal to the number of predictors.

matrix with number of rows equal to the number of basis functions and number of columns equal to the number of predictors.

x.basis

sigma

Evaluate a kernel matrix based on the radial basis function kernel. Can be 
used in conjunction with <code><a rd-options="" href="/link/cadence.fit?package=CaDENCE&version=1.2.5" data-mini-rdoc="CaDENCE::cadence.fit">cadence.fit</a></code> with <code>hidden.fcn</code> 
set to <code><a rd-options="" href="/link/identity?package=CaDENCE&version=1.2.5" data-mini-rdoc="CaDENCE::identity">identity</a></code> and <code>sd.norm</code> set to a value less than 
infinity to implement a kernel CDEN model.

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>.

Alex Cannon

CaDENCE

Conditional Density Estimation Network Construction and
Evaluation

rbf function

Evaluate a kernel matrix based on the radial basis function kernel. Can be 
used in conjunction with <code><a rd-options='' href='cadence.fit'>cadence.fit</a></code> with <code>hidden.fcn</code> 
set to <code><a rd-options='' href='identity'>identity</a></code> and <code>sd.norm</code> set to a value less than 
infinity to implement a kernel CDEN model.

rbf: Radial basis function kernel

Description

Usage

Arguments

Value

See Also