Package: stagedtrees
Type: Package
Title: Staged Event Trees
Version: 1.0.0
Authors@R: c(
  person(given = "Gherardo", family = "Varando", role = c("aut", "cre"),
  email = "gherardo.varando@gmail.com", 
	comment = c(ORCID = "0000-0002-6708-1103")),
	person(given = "Federico", family = "Carli", role = "aut"),
	person(given = "Manuele", family = "Leonelli", role = "aut", 
	comment = c(ORCID = "0000-0002-2562-5192")),
	person(given = "Eva", family = "Riccomagno", role = "aut")
	)
Description: Creates and fits staged event tree probability models. 
             Staged event trees are probabilistic graphical models capable of 
             representing asymmetric conditional independence statements
             among categorical variables. 
             This package contains functions to create, plot and fit 
             staged event trees from data, moreover different structure learning 
             algorithms are available.
             References:
             Collazo R. A., Görgen C. and Smith J. Q. 
             (2018, ISBN:9781498729604).
             Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018) 
             <arXiv:1705.09457>.
             Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>.
             Barclay L. M., Hutton J. L. and Smith J. Q. (2013) 
             <doi:10.1016/j.ijar.2013.05.006>.
             Smith J. Q. and Anderson P. E. (2008) 
             <doi:10.1016/j.artint.2007.05.004>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/gherardovarando/stagedtrees
BugReports: https://github.com/gherardovarando/stagedtrees/issues
Imports: stats, graphics, methods
Suggests: testthat, bnlearn, covr, clue
NeedsCompilation: no
Packaged: 2019-09-19 11:53:20 UTC; gherardo
Author: Gherardo Varando [aut, cre] (<https://orcid.org/0000-0002-6708-1103>),
  Federico Carli [aut],
  Manuele Leonelli [aut] (<https://orcid.org/0000-0002-2562-5192>),
  Eva Riccomagno [aut]
Maintainer: Gherardo Varando <gherardo.varando@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-27 09:00:02 UTC
