levelplot.ep.list: Levelplot of posterior edge probabilities.
In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.
Description
Usage
Arguments
Examples
Description
Plot a levelplot displaying the
edge probabilities.
Usage
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## S3 method for class 'ep.list'
levelplot(eplist)
Arguments
eplist
An ep.list object. A list of edge
probability matrices
Examples
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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")
mcmc <- posterior(data = x, "mc3", nSamples = 500, nBurnin = 100)
myep1 <- ep(exact)
myep2 <- ep(mcmc)
if (require(lattice)){
levelplot(ep.list(Exact = myep1, MCMC = myep2))
}
rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.
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Description Usage Arguments Examples
Description
Plot a levelplot displaying the
edge probabilities.
Usage
1 2 | ## S3 method for class 'ep.list'
levelplot(eplist)
|
Arguments
eplist |
An |
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | 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")
mcmc <- posterior(data = x, "mc3", nSamples = 500, nBurnin = 100)
myep1 <- ep(exact)
myep2 <- ep(mcmc)
if (require(lattice)){
levelplot(ep.list(Exact = myep1, MCMC = myep2))
}
|
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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