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We might be able to give some things better names:
-
iter
parameter ofnuts
tonum_samples
-
fit.fitted
tofit.predict
? (both exist in brms, and IIRCfitted
in brmp implements aspects of each of these.) Alternatively, we could move away from a single mega-method towards separate methods for each kind of prediction? (i.e. We could have separate methods, one for each validwhat
argument that can be passed tofitted
.) -
defm
tobrm
? (defm
is short for "define model", but it wasn't a well considered choice.brm
is used inbrms
for something similar but not quite the same -- it both defines and fits a model -- which might cause confusion.) -
DefmResult
andGenerateResult
might seem a bit odd when they appear in documentation. - Drop the
nuts
,svi
,prior
methods onDefmResults
? (i.e. Remove support for doingdefm(...).prior()
.) These are a middle ground between the convenience ofdef(...).fit()
and the flexibility of e.g.defm(...).generate(...).nuts(...)
, but it's not clear they add much. Also, they are currently hard-coded to use only the default back end.
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