Visualize the inferred diffusion network or the marginal gain in fit obtained
by addition of each edge.
Usage
# S3 method for diffnet
plot(x, type = "network", ...)
Value
A ggplot plot object if type = "improvement" otherwise an
igraph plot.
Arguments
x
object of class diffnet to be plotted.
type
character, one of c("network", "improvement", "p-value")
indicating if the inferred diffusion network, the
improvement for each edge or the p-value from the vuong test for each
edge should be visualized .
...
additional arguments.
Details
If `type = improvement` a ggplot object is returned. It can be modified like
any other ggplot. See the ggplot documentation and the examples in
plot.cascade.
if (FALSE) {
data(cascades)
res <- netinf(cascades, quiet = TRUE)
plot(res, type = "network")
plot(res, type = "improvement")
plot(res, type = "p-value")
}