rbn.dbn.fit: Simulates random samples from a fitted DBN
In dbnR: Dynamic Bayesian Network Learning and Inference
View source: R/bnlearn_compat.R
rbn.dbn.fit R Documentation
Simulates random samples from a fitted DBN
Description
Generic method for "dbn.fit" S3 objects.
Calls bnlearn's rbn underneath.
Usage
## S3 method for class 'dbn.fit'
rbn(x, n, ...)
Arguments
x
the fitted network
n
number of samples
...
additional parameters
Value
the sampled dataset
dbnR documentation built on Oct. 5, 2022, 1:07 a.m.
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View source: R/bnlearn_compat.R
| rbn.dbn.fit | R Documentation |
Simulates random samples from a fitted DBN
Description
Generic method for "dbn.fit" S3 objects.
Calls bnlearn's rbn underneath.
Usage
## S3 method for class 'dbn.fit' rbn(x, n, ...)
Arguments
x |
the fitted network |
n |
number of samples |
... |
additional parameters |
Value
the sampled dataset
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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