New version: PartiallyObservedMarkovProcesses v0.4.12#142653
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Release notes: There is now support for deterministic process models in continuous time (i.e., ordinary differential equations). Specifically, one can provide a vectorfield (ordinary differential equation) via the `rprocess` argument and the `vectorfield` constructor. See the documentation and the `drmca` example for details.
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[noblock] I removed a comment that might have been blocking. This will hopefully resolve the impasse. |
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[noblock] |
UUID: 32433216-4d85-4b2d-94ed-a614743ba12b Repo: https://github.com/kingaa/PartiallyObservedMarkovProcesses.jl.git Tree: 1f4a7465921703b269e6477ff78866e3c75694dd Registrator tree SHA: 50f504d641745716a5b3eabaf681d3a4937d2ae3
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