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ceg
View on CRAN: Click
here
Download and install ceg package within the R console
Install from CRAN:
install.packages("ceg")
Install from Github:
library("remotes")
install_github("cran/ceg")
Install by package version:
library("remotes")
install_version("ceg", "0.1.0")
Attach the package and use:
library("ceg")
Maintained by
Pier Taranti
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-27
Latest Update: 2017-11-27
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
.
How to cite:
Pier Taranti (2017). ceg: Chain Event Graph. R package version 0.1.0, https://cran.r-project.org/web/packages/ceg
Previous versions and publish date:
No previous versions
Other packages that cited ceg R package
View ceg citation profile
Other R packages that ceg depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ceg R package
Some associated functions: AlphaEdgeInternal . Category-class . Category . Ceg.model-class . CegGraphSimple . CheckAndCleanData . ContingencyTable . ContingencyTableVariable . Dinamic.programming-class . Dirchlet.MPNL.distribution-class . Dirchlet.distribution-class . Distribution.of.probability-class . EdgeLabel . EdgeList . EdgeSituation . Event.tree-class . Exhaustive.model.search.algorithm-class . Heuristic.model.search.algorithm-class . KeepLexOrder . LabelStage . ListToVector . MergeLabels . Model.search.algorithm-class . Multinomial.distribution-class . NodeColor . NodeLabel . NodeSet . OAHC-class . OAHC . PairwisePosition . PositionLevel . PositionStage . PositionVector . Posterior.distribution-class . Prior.distribution-class . PriorDistribution . PriorVariable . Staged.tree-class . Stratified.ceg.model-class . Stratified.ceg.model . Stratified.event.tree-class . Stratified.event.tree . Stratified.staged.tree-class . Stratified.staged.tree . StratifiedCegPosition . StratifiedEventTreeGraph . TreeGraph . TruncatedPath . Variable-class . Variable . artificial.chds . ceg-package . plot-Stratified.ceg.model-ANY-method . plot-Stratified.event.tree-ANY-method . plot-Stratified.staged.tree-ANY-method . scm . set.manual . set . sst .
Some associated R codes: category.R . ceg.R . ceg_model.R . cont_table.R . data_documentation.R . dinamic_programming.R . dirchlet_distribution.R . dirchlet_mpnl_distribution.R . distribution_of_probability.R . event_tree.R . exhaustive_model_search_algorithm.R . heuristic_model_search_algorithm.R . lib_funtions.R . model_search_algorithm.R . multinomial_distribution.R . oahc.R . posterior_distribution.R . prior_distribution.R . staged_tree.R . stratified_ceg_model.R . stratified_event_tree.R . stratified_staged_tree.R . variable.R . Full ceg package functions and examples
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