
CRAN . RSTUDIO . COM {
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Title:
CRAN: Package ceg
Description:
Create and learn Chain Event Graph (CEG) models using a Bayesian framework. It provides us with a Hierarchical Agglomerative algorithm to search the CEG model space. The package also includes several facilities for visualisations of the objects associated with a CEG. The CEG class can represent a range of relational data types, and supports arbitrary vertex, edge and graph attributes. A Chain Event Graph is a tree-based graphical model that provides a powerful graphical interface through which domain experts can easily translate a process into sequences of observed events using plain language. CEGs have been a useful class of graphical model especially to capture context-specific conditional independences. References: Collazo R, Gorgen C, Smith J. Chain Event Graph. CRC Press, ISBN 9781498729604, 2018 (forthcoming); and Barday LM, Collazo RA, Smith JQ, Thwaites PA, Nicholson AE. The Dynamic Chain Event Graph. Electronic Journal of Statistics, 9 (2) 2130-2169 <<a href="https://doi.org/10.1214%2F15-EJS1068" target="_top">doi:10.1214/15-EJS1068</a>>.
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27 years and 1 months (reg. 1998-05-15).
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Keywords {🔍}
graph, ceg, chain, event, cegtgz, model, graphical, collazo, cegzip, rrelease, roldrel, package, class, smith, aut, pier, taranti, license, binaries, arm, create, learn, models, bayesian, framework, hierarchical, agglomerative, algorithm, search, space, includes, facilities, visualisations, objects, represent, range, relational, data, types, supports, arbitrary, vertex, edge, attributes, treebased, powerful, interface, domain, experts, easily,
Topics {✒️}
tree-based graphical model /ptaranti/ceg/issues license chain event graph file license url hierarchical agglomerative algorithm relational data types supports arbitrary vertex powerful graphical interface pier taranti [aut gz windows binaries /ptaranti/ceg needscompilation ceg model space ceg results documentation rodrigo collazo [aut] zip macos binaries canonical form https org/package=ceg graphical model graph attributes ceg author bayesian framework domain experts easily translate observed events plain language crc press barday lm collazo ra thwaites pa nicholson ae electronic journal rgraphviz suggests testthat published cre] maintainer reference manual pdf downloads r-devel r-release r-oldrel r-project package source ceg class smith jq cran checks tgz linking graph ceg collazo package https
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