sample.dataset: sample a 'BNDataset' from a network of an inference engine.
In tavazzie/bnstructScore: Bayesian Network Structure Learning from Data with Missing Values
Description
Usage
Arguments
Value
Description
sample a BNDataset from a network of an inference engine.
Usage
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sample.dataset(x, n = 100, mar = 0)
## S4 method for signature 'BN'
sample.dataset(x, n = 100, mar = 0)
## S4 method for signature 'InferenceEngine'
sample.dataset(x, n = 100)
Arguments
x
a BN or InferenceEngine object.
n
number of items to sample.
mar
fraction [0,1] of missing values in the sampled dataset
(missing at random), default value is 0 (no missing values).
Value
a BNDataset
tavazzie/bnstructScore documentation built on Dec. 23, 2021, 7:47 a.m.
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Description Usage Arguments Value
Description
sample a BNDataset from a network of an inference engine.
Usage
1 2 3 4 5 6 7 | sample.dataset(x, n = 100, mar = 0)
## S4 method for signature 'BN'
sample.dataset(x, n = 100, mar = 0)
## S4 method for signature 'InferenceEngine'
sample.dataset(x, n = 100)
|
Arguments
x |
a |
n |
number of items to sample. |
mar |
fraction [0,1] of missing values in the sampled dataset (missing at random), default value is 0 (no missing values). |
Value
a BNDataset
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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