MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions

This paper introduces MoTBFs, an R package for manipulating mixtures of truncated basis functions. This class of functions allows the representation of joint probability distributions involving discrete and continuous variables simultaneously, and includes mixtures of truncated exponentials and mixt...

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Hlavní autoři: Maldonado González, Ana Devaki, Salmerón Cerdán, Antonio, Pérez Bernabé, Inmaculada, Nielsen, Thomas Dyhre
Médium: info:eu-repo/semantics/article
Jazyk:English
Vydáno: The R Foundation 2023
On-line přístup:http://hdl.handle.net/10835/14822

Internet

http://hdl.handle.net/10835/14822

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