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Description
I'm currently trying to port an example over from the fitode package.
In fitode, the times and time steps are automatically taken from a column in the data set. In this case, the time units are in years. The rate parameters c(beta=70, gamma=60) are sensible in terms of years, but not in terms of time steps (which are actually weekly). Obviously I can just multiply by 1/52, but I'm wondering if there is now a "set delta-t" functionality (there is a promising sounding mp_time_scale() function, but it's undocumented and the code is not transparent -- I can guess the existence of internal functions Daily, Weekly, etc., but ???
While we're at it, are there examples yet of lining up calibrations with (say) multi-stream data that have different missingness patterns ... ? (update: I see there is something here, but it looks incomplete — comment says "## won't work yet ... need more sophisticated obs/sim matching ...")
I see there is a delta-t pull request but not sure about status (the last GH actions check was cancelled ...)
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