num.samples: num.samples
In itsrainingdata/sparsebnUtils: Utilities for Learning Sparse Bayesian Networks
Description
Usage
Arguments
Value
Methods (by class)
Description
Extracts the number of samples used to estimate the associated object.
Usage
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num.samples(x)
## S3 method for class 'sparsebnData'
num.samples(x)
## S3 method for class 'sparsebnFit'
num.samples(x)
## S3 method for class 'sparsebnPath'
num.samples(x)
Arguments
x
a sparsebnFit or sparsebnPath object.
Value
Number of samples as integer.
Methods (by class)
-
sparsebnData: Extracts the number of samples of sparsebnData object.
-
sparsebnFit: Extracts the number of samples of sparsebnFit object.
-
sparsebnPath: Extracts the number of samples of sparsebnPath object.
itsrainingdata/sparsebnUtils documentation built on June 5, 2019, 5:43 p.m.
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Description Usage Arguments Value Methods (by class)
Description
Extracts the number of samples used to estimate the associated object.
Usage
1 2 3 4 5 6 7 8 9 10 | num.samples(x)
## S3 method for class 'sparsebnData'
num.samples(x)
## S3 method for class 'sparsebnFit'
num.samples(x)
## S3 method for class 'sparsebnPath'
num.samples(x)
|
Arguments
x |
a |
Value
Number of samples as integer.
Methods (by class)
-
sparsebnData: Extracts the number of samples of sparsebnData object. -
sparsebnFit: Extracts the number of samples of sparsebnFit object. -
sparsebnPath: Extracts the number of samples of sparsebnPath object.
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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