parentalFromEPThreshold: Threshold posterior edge probabilities.
In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.
Description
Usage
Arguments
Value
See Also
Examples
Description
Return the parental given by thresholding a edge
probability matrix at a given level. The inequality is
>=. Note this may well be cyclic.
Usage
1
parentalFromEPThreshold(ep, threshold)
Arguments
ep
A matrix of class ep
threshold
The value at which to threshold the
matrix
Value
An object of class parental
See Also
Examples
1
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9
x1 <- factor(c(1, 1, 0, 1))
x2 <- factor(c(0, 1, 0, 1))
x <- data.frame(x1 = x1, x2 = x2)
exact <- posterior(data = x, "exact")
myep <- ep(exact)
parentalFromEPThreshold(myep, 0.2)
parentalFromEPThreshold(myep, 0.4)
rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.
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Description Usage Arguments Value See Also Examples
Description
Return the parental given by thresholding a edge probability matrix at a given level. The inequality is >=. Note this may well be cyclic.
Usage
1 | parentalFromEPThreshold(ep, threshold)
|
Arguments
ep |
A matrix of class ep |
threshold |
The value at which to threshold the matrix |
Value
An object of class parental
See Also
Examples
1 2 3 4 5 6 7 8 9 | x1 <- factor(c(1, 1, 0, 1))
x2 <- factor(c(0, 1, 0, 1))
x <- data.frame(x1 = x1, x2 = x2)
exact <- posterior(data = x, "exact")
myep <- ep(exact)
parentalFromEPThreshold(myep, 0.2)
parentalFromEPThreshold(myep, 0.4)
|
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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