plot.diffnet: Visualize netinf output
In desmarais-lab/NetworkInference: Inferring Latent Diffusion Networks

Description Usage Arguments Details Value Examples

Visualize the inferred diffusion network or the marginal gain in fit obtained by addition of each edge.

1 2	## S3 method for class 'diffnet' plot(x, type = "network", ...)

`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.

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.

A ggplot plot object if type = "improvement" otherwise an igraph plot.

## Not run: 
 data(cascades)
 res <- netinf(cascades, quiet = TRUE)
 plot(res, type = "network")
 plot(res, type = "improvement")
 plot(res, type = "p-value")

## End(Not run)