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stagedtrees: Staged Event Trees

Creates and fits staged event tree probability models, which are probabilistic graphical models capable of representing asymmetric conditional independence statements for categorical variables. Includes functions to create, plot and fit staged event trees from data, as well as many efficient structure learning algorithms. References: Carli F, Leonelli M, Riccomagno E, Varando G (2022). <doi:10.18637/jss.v102.i06>. Collazo R. A., Görgen C. and Smith J. Q. (2018, ISBN:9781498729604). Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018) <doi:10.48550/arXiv.1705.09457>. Thwaites P. A., Smith, J. Q. (2017) <doi:10.48550/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>.

Version: 2.3.0
Depends: R (≥ 2.10)
Imports: stats, graphics, cli, rlang, matrixStats
Suggests: testthat (≥ 3.0.0), bnlearn, covr, clue, igraph
Published: 2024-02-14
DOI: 10.32614/CRAN.package.stagedtrees
Author: Gherardo Varando ORCID iD [aut, cre], Federico Carli [aut], Manuele Leonelli ORCID iD [aut], Eva Riccomagno [aut]
Maintainer: Gherardo Varando <gherardo.varando at gmail.com>
BugReports: https://github.com/stagedtrees/stagedtrees/issues
License: MIT + file LICENSE
URL: https://github.com/stagedtrees/stagedtrees
NeedsCompilation: no
Citation: stagedtrees citation info
Materials: README NEWS
CRAN checks: stagedtrees results

Documentation:

Reference manual: stagedtrees.pdf

Downloads:

Package source: stagedtrees_2.3.0.tar.gz
Windows binaries: r-devel: stagedtrees_2.3.0.zip, r-release: stagedtrees_2.3.0.zip, r-oldrel: stagedtrees_2.3.0.zip
macOS binaries: r-release (arm64): stagedtrees_2.3.0.tgz, r-oldrel (arm64): stagedtrees_2.3.0.tgz, r-release (x86_64): stagedtrees_2.3.0.tgz, r-oldrel (x86_64): stagedtrees_2.3.0.tgz
Old sources: stagedtrees archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.