The default plot is a barplot of the marginal inclusion probabilities
for each variable, as obtained by
PlotMarginalInclusionProbabilities. Other interesting
plots can be obtained by supplying a string as the second argument.
# S3 method for BayesNnet
plot(x,
y = c("predicted", "residual", "structure", "partial", "help"),
...) PlotBayesNnetPredictions(model, burn = SuggestBurn(model), ...)
PlotBayesNnetResiduals(model, burn = SuggestBurn(model), ...)
PlotNetworkStructure(model, ...)
An object of class BayesNnet.
An object of class BayesNnet. The name x is required
to conform with the plot generic function signature.
The type of plot desired, or the name of the variable to plot
against. The name y is required to conform with the
plot generic function signature.
If y matches (or partially matches) one of the names in the
function signature, then the corresponding plot function handles the
plot request.
"predicted" (the default) plot actual vs predicted values
using PlotBayesNnetPredictions.
"residual" plot residuals vs predicted values using
PlotBayesNnetResiduals.
"structure" plot network structure using
PlotNetworkStructure.
"partial" Draw the partial dependence plot for each predictor variable in the training data. This is an expensive plot. It might take a while to draw for large data sets or complex models.
"help" show this help page in a browser
If y fails to match any of the above, but it (partially) the
name of one of the variables in the training data, then a partial
dependence plot vs that variable is produced.
The number of MCMC iterations to discard as burn-in.
Additional arguments passed to the specific functions
that do the plotting. For residual and predicted plots that is the
plot function. For network structure it is
plot.igraph. For partial dependence plots it
is PartialDependencePlot.
Steven L. Scott
Residual and predicted plots should be self explanatory. The network structure plot is fairly standard for neural network models. The width of a line linking two nodes is determined by the absolute value of the corresponding coefficient.
BayesNnet
PartialDependencePlot
## See the examples in ?BayesNnet
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