Rgraphviz

Rgraphviz: Provides plotting capabilities for R graph objects. Interfaces R with the AT and T graphviz library for plotting R graph objects from the graph package. Users on all platforms must install graphviz; see the README file, available in the source distribution of this file, for details.


References in zbMATH (referenced in 21 articles )

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  1. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2022)
  2. Ostoic, J. Antonio Rivero: Algebraic analysis of social networks. Models, methods and applications using R (2021)
  3. Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel: Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG (2021) arXiv
  4. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  5. Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer: Additive Bayesian Network Modelling with the R Package abn (2019) arXiv
  6. Murrell, Paul: R graphics (2019)
  7. Bojan Mihaljević, Concha Bielza, Pedro Larrañaga: bnclassify: Learning Bayesian Network Classifiers (2018) not zbMATH
  8. Patrick Roocks: Computing Pareto Frontiers and Database Preferences with the rPref Package (2016) not zbMATH
  9. Holst, Klaus Kähler; Budtz-Jørgensen, Esben: Linear latent variable models: the lava-package (2013)
  10. Nagarajan, Radhakrishnan; Scutari, Marco; Lèbre, Sophie: Bayesian networks in R. With applications in systems biology (2013)
  11. Sacha Epskamp; Angélique Cramer; Lourens Waldorp; Verena Schmittmann; Denny Borsboom: qgraph: Network Visualizations of Relationships in Psychometric Data (2012) not zbMATH
  12. Søren Højsgaard: Graphical Independence Networks with the gRain Package for R (2012) not zbMATH
  13. Murrell, Paul: R graphics (2011)
  14. Ali Ünlü; Anatol Sargin: DAKS: An R Package for Data Analysis Methods in Knowledge Space Theory (2010) not zbMATH
  15. Michael Hahsler; Margaret Dunham: rEMM: Extensible Markov Model for Data Stream Clustering in R (2010) not zbMATH
  16. Ayala, Guillermo; López-Díaz, Miguel: The simplex dispersion ordering and its application to the evaluation of human corneal endothelia (2009)
  17. Hornik, Kurt; Buchta, Christian; Zeileis, Achim: Open-source machine learning: R meets Weka (2009)
  18. Marco Scutari: Learning Bayesian Networks with the bnlearn R Package (2009) arXiv
  19. Bivand, Roger S.; Pebesma, Edzer J.; Gómez-Rubio, Virgilio: Applied spatial data analysis with R (2008)
  20. Carter Butts: network: A Package for Managing Relational Data in R (2008) not zbMATH

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