Conversation
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A bit uncertain if we should |
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Note that this will fail until ElOceanografo/MarginalLogDensities.jl#36 has made its way to the public (i.e. v0.3.6). Not entirely certain why this hasn't happened yet (it is in the registry 😕 ) |
ForwardDiff.jl has been fiexd
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We need TuringLang/DynamicPPL.jl#738 to go through before this will work 👍 |
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I'll have a look at this now; should be good now that the above PR has been merged 👍 |
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Found this after reading the recent Stan release and losing myself in a rabbit hole. This would be super handy for some modular fitting stuff as I think said elsewhere. What is the status? Anything aside from cheerleading to do? |
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@ElOceanografo Hello! Are you still interested in this? I'm happy to try to pick it up (although I will probably need a bit of time to read the previous discussions + wrap my head around the stats). |
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Yes, I'm still interested in this! I have not tried running this code myself yet, but based on a quick skim it looks like it's doing what I'd expect. Let me know if I can help out in any way. |
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Just finished digging into this and made a PR to this branch that should get thing working again: #2662 If it's simpler, I could also just open it as a new PR. |
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Opened a new version of this at #2664 based on the up-to-date main branch, so this PR can be closed in favor of that one. |
This PR adds an extension for MarginalLogDensities.jl, allowing one to call
marginalizeon aModel, resulting in aMarginalLogDensityfrom MarginalLogDensities.jl.Example:
Ref: #2398