View source: R/4-model-selection.R
stages_fbhc | R Documentation |
Greedy search of staged event trees with iterative joining of stages.
stages_fbhc( object = NULL, score = function(x) { return(-BIC(x)) }, max_iter = Inf, scope = NULL, ignore = object$name_unobserved, trace = 0 )
object |
an object of class |
score |
the score function to be maximized. |
max_iter |
the maximum number of iteration. |
scope |
names of variables that should be considered for the optimization. |
ignore |
vector of stages which will be ignored and left untouched,
by default the name of the unobserved stages stored in
|
trace |
if >0 increasingly amount of info
is printed (via |
For each variable the algorithm tries to join stages and moves to the first model that increases the score. When no increase is possible it moves to the next variable.
The final staged event tree obtained.
DD <- generate_xor_dataset(n = 5, N = 100) model <- stages_fbhc(full(DD), trace = 2) summary(model)
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