sample.cibn: Sampling from a causal independence Bayesian network
In alessandromagrini/cibn: Causal Independence Bayesian Networks
Description
Usage
Arguments
Value
See Also
Examples
Description
Draw a random sample from a causal independence Bayesian network
Usage
1
sample.cibn(x, nsam, seed=NULL)
Arguments
x
An object of class cibn.
nsam
The number of sample units.
seed
The seed for the random number generator. If NULL (the default), it is chosen randomly.
Value
An object of class data.frame.
See Also
new.cibn; query.cibn.
Examples
1
2
3
4
5
6
data(bankrisk_code)
bankrisk_bn <- new.cibn(bankrisk_code)
#
bankrisk_sam <- sample.cibn(bankrisk_bn, nsam=100)
head(bankrisk_sam)
summary(bankrisk_sam)
alessandromagrini/cibn documentation built on Feb. 7, 2022, 10:55 p.m.
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Description Usage Arguments Value See Also Examples
Description
Draw a random sample from a causal independence Bayesian network
Usage
1 | sample.cibn(x, nsam, seed=NULL)
|
Arguments
x |
An object of class |
nsam |
The number of sample units. |
seed |
The seed for the random number generator. If |
Value
An object of class data.frame.
See Also
new.cibn; query.cibn.
Examples
1 2 3 4 5 6 | data(bankrisk_code)
bankrisk_bn <- new.cibn(bankrisk_code)
#
bankrisk_sam <- sample.cibn(bankrisk_bn, nsam=100)
head(bankrisk_sam)
summary(bankrisk_sam)
|
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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