Package: CaDENCE 1.2.5

CaDENCE: Conditional Density Estimation Network Construction and Evaluation

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>.

Authors:Alex J. Cannon

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CaDENCE.pdf |CaDENCE.html✨
CaDENCE/json (API)

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32 exports 0.00 score 1 dependencies 28 scripts 251 downloads

Last updated 7 years agofrom:7c754e5e40. Checks:OK: 7. Indexed: yes.

Exports:cadence.costcadence.evaluatecadence.fitcadence.initializecadence.predictcadence.reshapedbgammadblnormdbpareto2dbweibulldpareto2dummy.codegam.stylelogisticpbgammapblnormpbpareto2pbweibullppareto2qbgammaqblnormqbpareto2qbweibullqpareto2rbfrbgammarblnormrbpareto2rbweibullrpareto2rpropxval.buffer

Dependencies:pso