catnet

R package catnet: Categorical Bayesian Network Inference. A package that handles discrete Bayesian network models and provides inference using the frequentist approach

Keywords for this software

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References in zbMATH (referenced in 5 articles )

Showing results 1 to 5 of 5.
Sorted by year (citations)

  1. Han Yu; Janhavi Moharil; Rachael Hageman Blair: BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks (2020) not zbMATH
  2. Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer: Additive Bayesian Network Modelling with the R Package abn (2019) arXiv
  3. Scutari, Marco; Graafland, Catharina Elisabeth; Gutiérrez, José Manuel: Who learns better Bayesian network structures: accuracy and speed of structure learning algorithms (2019)
  4. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2015)
  5. Balov, Nikolay: Consistent model selection of discrete Bayesian networks from incomplete data (2013)