Package: ceg
Title: Chain Event Graph
Date: 2017-11-26
Version: 0.1.0
Authors@R: c(
             person("Rodrigo", "Collazo", email = "rodrigocollazo@gmail.com",
             role = c("aut")),
             person("Pier", "Taranti", email = "ptaranti@gmail.com",
             role = c("aut", "cre"))
             )
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
    <doi:10.1214/15-EJS1068>.
Depends: R (>= 3.2.2)
Imports: graph, grDevices, graphics, methods, stats, utils, Rgraphviz
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
URL: https://github.com/ptaranti/ceg
BugReports: https://github.com/ptaranti/ceg/issues
Collate: 'category.R' 'ceg.R' 'event_tree.R' 'staged_tree.R'
        'ceg_model.R' 'cont_table.R' 'data_documentation.R'
        'model_search_algorithm.R'
        'exhaustive_model_search_algorithm.R' 'dinamic_programming.R'
        'distribution_of_probability.R' 'dirchlet_distribution.R'
        'dirchlet_mpnl_distribution.R'
        'heuristic_model_search_algorithm.R' 'lib_funtions.R'
        'multinomial_distribution.R' 'oahc.R'
        'posterior_distribution.R' 'prior_distribution.R'
        'stratified_event_tree.R' 'stratified_staged_tree.R'
        'stratified_ceg_model.R' 'variable.R'
NeedsCompilation: no
Packaged: 2017-11-27 02:19:26 UTC; taranti
Author: Rodrigo Collazo [aut],
  Pier Taranti [aut, cre]
Maintainer: Pier Taranti <ptaranti@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-27 12:44:01 UTC
Built: R 4.3.3; ; 2025-01-24 05:28:01 UTC; unix
