stagedtrees

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.

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