Comments (1)
This may be difficult to implement within the package, as I'm uncertain whether or not there is an API for R, but I have used this package for drawing really nice temporal Bayesian networks.
https://github.com/jluttine/tikz-bayesnet
Here's an example of what that kind of software produces:
There, you have the ability of making explicit the location of the plotted nodes. Standard algorithms in GraphViz end up putting nodes in locations that optimize some criterion, not necessarily in time order.
All this said, I do however think you have the ability to explicitly place nodes in specific locations using DiagrammeR/GraphViz. If this is the case, then we might just line up the temporal nodes in as many vertical columns as necessary to cover all the dependencies. Something like the below diagram (which was made with PowerPoint, but you get the idea):
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Related Issues (17)
- DESCRIPTION File needs work
- dbn.list
- Plotting bug: adding dependencies to time [t-k], where k>=2
- How do we handle `x[t] | x[t-1]`.
- Propagate time horizontally
- Graph problems with y[t] | x[t]
- New `ggplot` packages might support network plots
- All dynamic nodes should have the same `max_t`
- Prediction approach HOT 1
- Model specification with time lags
- Initial Structure HOT 4
- Description in `dbn` needs content
- Return section in `dbn`
- Model to node validation
- plot.dbn HOT 5
- Write tests for functions:
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