bnc_dag: Bayesian network classifier structure.
In bnclassify: Learning Discrete Bayesian Network Classifiers from Data
bnc_dag R Documentation
Bayesian network classifier structure.
Description
A Bayesian network classifier structure, returned by functions such as
nb and tan_cl. You can plot its structure (with
plot), print a summary to console
(print), inspect it with functions documented
in inspect_bnc_dag, and convert it to a graph object with
grain_and_graph.
Examples
data(car)
nb <- tan_cl('class', car)
nb
## Not run: plot(nb)
narcs(nb)
bnclassify documentation built on Nov. 16, 2022, 5:08 p.m.
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| bnc_dag | R Documentation |
Bayesian network classifier structure.
Description
A Bayesian network classifier structure, returned by functions such as
nb and tan_cl. You can plot its structure (with
plot), print a summary to console
(print), inspect it with functions documented
in inspect_bnc_dag, and convert it to a graph object with
grain_and_graph.
Examples
data(car)
nb <- tan_cl('class', car)
nb
## Not run: plot(nb)
narcs(nb)
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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