View source: R/helper_triang.R
triangulate | R Documentation |
Given a list of CPTs, this function finds a triangulation
triangulate( x, root_node = "", joint_vars = NULL, tri = "min_fill", pmf_evidence = NULL, alpha = NULL, perm = FALSE, mpd_based = FALSE ) ## S3 method for class 'cpt_list' triangulate( x, root_node = "", joint_vars = NULL, tri = "min_fill", pmf_evidence = NULL, alpha = NULL, perm = FALSE, mpd_based = FALSE )
x |
An object returned from |
root_node |
A node for which we require it to live in the root clique (the first clique). |
joint_vars |
A vector of variables for which we require them to be in the same clique. Edges between all these variables are added to the moralized graph. |
tri |
The optimization strategy used for triangulation if x originates from a Baeysian network. One of
|
pmf_evidence |
A named vector of frequencies of the expected
missingness of a variable. Variables with frequencies of 1 can be
neglected; these are inferrred. A value of 0.25 means, that the
given variable is expected to be missing (it is not a evidence node)
in one fourth of the future cases. Relevant for |
alpha |
Character vector. A permutation of the nodes in the graph. It specifies a user-supplied eliminination ordering for triangulation of the moral graph. |
perm |
Logical. If |
mpd_based |
Logical. True if the triangulation should be performed on a maximal peime decomposition |
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