discreteness-set: set status (discrete or continuous) of the variables of an...
In bnstruct: Bayesian Network Structure Learning from Data with Missing Values
discreteness<- R Documentation
set status (discrete or continuous) of the variables of an object.
Description
Set the list of variable status for the variables in a network or a dataset.
Usage
discreteness(x) <- value
## S4 replacement method for signature 'BN'
discreteness(x) <- value
## S4 replacement method for signature 'BNDataset'
discreteness(x) <- value
Arguments
x
an object.
value
a vector of elements in {c,d} for continuous and discrete variables (respectively).
bnstruct documentation built on Dec. 1, 2022, 1:22 a.m.
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| discreteness<- | R Documentation |
set status (discrete or continuous) of the variables of an object.
Description
Set the list of variable status for the variables in a network or a dataset.
Usage
discreteness(x) <- value ## S4 replacement method for signature 'BN' discreteness(x) <- value ## S4 replacement method for signature 'BNDataset' discreteness(x) <- value
Arguments
x |
an object. |
value |
a vector of elements in { |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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