createbnFromData: Creates a Bayesian network from a datafile
In hmma: Constructs Asymmetric Hidden Markov Models
Description
Usage
Arguments
Details
View source: R/createbnFromData.R
Description
The createbnFromData creates a Bayesian network from the datafile that
is supplied. The $x parameter of the datafile should contain the
actual data, while the $N component should contain the observation lengths.
Usage
1
createbnFromData(data, seed, debug = FALSE)
Arguments
data
The datafile as specified above.
seed
Seed.
debug
Switches debug mode on/off.
Details
The possible outputs of a node are based on the unique values in the dataset.
All unique values from a column (a random variable) are converted to possible
outputs of the node in the BN.
hmma documentation built on July 2, 2020, 12:10 a.m.
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Description Usage Arguments Details
View source: R/createbnFromData.R
Description
The createbnFromData creates a Bayesian network from the datafile that
is supplied. The $x parameter of the datafile should contain the
actual data, while the $N component should contain the observation lengths.
Usage
1 | createbnFromData(data, seed, debug = FALSE)
|
Arguments
data |
The datafile as specified above. |
seed |
Seed. |
debug |
Switches debug mode on/off. |
Details
The possible outputs of a node are based on the unique values in the dataset. All unique values from a column (a random variable) are converted to possible outputs of the node in the BN.
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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