logistic

<p><code>logistic</code> computes a logistic sigmoid (S-shaped) function bounded between 0 and 1.</p>

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

logistic: Logistic sigmoid function

Description

Usage

Arguments