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Utilities for learning sparse Bayesian networks
Similar to default R modeling functions such as lm, glm. See ?match.call.
Long node names are truncated to 4 chars by default in show.parents
. Add an extra argument to allow this to be adjusted by the user.
sparsebnUtils/R/sparsebnUtils-show.R
Line 32 in 9f84eb7
The description of fit_multinom_dag() says that given the structure of a Bayesian network it estimates the parameters using multinomial logistic regression. Is this the function used to find inference? Also, what exactly does this function output?
Some of the methods currently assume input is given either via R-style or C-style indexing. It would be better to avoid this assumption and check this carefully for each input.
The following internal methods are not supported for Matrix
input, but should be:
as.sparse
as.edgeList
Error when passing a custom function for generating random numbers to random.dag
:
> random.dag(5,5, call = runif)
Error in call() : argument "n" is missing, with no default
Called from: call()
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