add_attr_to_fit: Adds the mu vector and sigma matrix as attributes to the...
In dbnR: Dynamic Bayesian Network Learning and Inference
add_attr_to_fit R Documentation
Adds the mu vector and sigma matrix as attributes to the bn.fit or dbn.fit object
Description
Adds the mu vector and sigma matrix as attributes to the bn.fit or dbn.fit
object to allow performing exact MVN inference on both cases. It also adds
the number of time slices of the net for future inference.
Usage
add_attr_to_fit(fit, size)
Arguments
fit
a fitted bn or dbn
size
number of time slices of the net
Value
the fitted net with attributes
dbnR documentation built on Oct. 5, 2022, 1:07 a.m.
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| add_attr_to_fit | R Documentation |
Adds the mu vector and sigma matrix as attributes to the bn.fit or dbn.fit object
Description
Adds the mu vector and sigma matrix as attributes to the bn.fit or dbn.fit object to allow performing exact MVN inference on both cases. It also adds the number of time slices of the net for future inference.
Usage
add_attr_to_fit(fit, size)
Arguments
fit |
a fitted bn or dbn |
size |
number of time slices of the net |
Value
the fitted net with attributes
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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