Comments (4)
I think I might be more comfortable with this as a separate function. setNode
is very clearly structured for dealing with a single node, a decision I made because I assumed most users would work with one node at a time.
This proposal seems like the user is providing the information as several nodes at once. It's a great idea, and can be done, but I might suggest something more like
net <- setNodeModels(lm(wells ~ 1, data=d2),
glm(pregnant ~ 1, family=binomial, data=d1))
This may require an additional element for each node, if we are going to accept the possibility of differing data objects for each model. But if net$nodeData$[node_name]
= NULL
, it could then look to net$data
.
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Agreed to have separate functions.
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See Issue #20 .
We may consider doing the above but for single nodes, using an adaptation of modelToNode().
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setNodeModels
is now included.
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Related Issues (20)
- Change JAGS parameter names to R parameter names HOT 2
- Change HydePosterior to HydeSim
- Update documentation in `setNode`
- setNode dbern bug HOT 4
- Error when data is tibble HOT 3
- Inaccurate HydeSim() predictions with discrete nodes
- Truncated normal distribution HOT 1
- `setNode` doesn't have a `nodeData` argument.
- `bindPosterior` should retain an index for chain number HOT 4
- Store network images in vignettes as PNGs HOT 5
- Formula checking error HOT 4
- [!] logit() and the VGAM package HOT 4
- Stan Integration
- ArgumentCheck error in setNode() HOT 1
- Changing graph layout
- Adding observed nodes to compileDecisionModel() HOT 3
- Changes in upcoming v0.8 release of `DiagrammeR` package will require changes in `plot.HydeNetwork` HOT 3
- Relaxing some decision/utility node constraints HOT 6
- policyMatrixValues() returns null HOT 1
- Categorical interactions are not handled correctly
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