To assist in formula that defines the relationship to a node,
expectedVariables returns to the console
a sample string that can be pasted into
and populated with the desired coefficients.
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A node name within
Logical. If FALSE, the sample string for use in
Each node is calculated as a model of its parents. If no training data are provided to the network, the user is expected to provide appropriate estimates of the regression coefficients for the model.
returnVector will generally be set to
FALSE for most uses,
but can be set to
TRUE for use in error checking. For example,
setNode, if not all of the parents have been given a coefficient
(or if too few coefficients have been given), the vector of names is supplied.
Jarrod Dalton and Benjamin Nutter
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data(PE, package="HydeNet") Net <- HydeNetwork(~ wells + pe | wells + d.dimer | pregnant*pe + angio | pe + treat | d.dimer*angio + death | pe*treat) expectedVariables(Net, wells) expectedVariables(Net, treat) expectedVariables(Net, treat, returnVector=TRUE) expectedParameters(Net, wells) expectedParameters(Net, wells, returnVector=TRUE)
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