cadence.initialize

cadence.reshape

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

number of hidden nodes in the CDEN model.

n.hidden

range for random weights on [<code>min(init.range)</code>, <code>max(init.range)</code>]

init.range

list used to specify the predictand distribution

distribution

Random initialization of the weight vector used during fitting of the 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>.

cadence.initialize: Initialize a CDEN weight vector

Description

Usage

Arguments