assess
Whether the fitted density reproduces the sample it came from.
The question an input model is actually judged on. countAdequacy asks whether the sample can settle how many components there are; this asks whether the density is a fair description of the data, which is what matters when the fit is going to drive a simulation. See FitAdequacy for why the goodness-of-fit p-value is bootstrapped rather than taken at face value, and why a two-sample comparison against the fitting data is not offered.
Opt-in, like every other resampling step here. Each replicate is a refit.
Return
the assessment, or null when nothing was fitted
Parameters
the results whose density is being tested; must have been fitted to this modeler's data
how many samples to draw from the fitted density
the level at which the verdict is read
a factory for the component fitter, fresh per replicate because the cache is keyed by group range and one carried across replicates would answer with another's fits
a factory for the refiner, fresh per replicate for the same reason
a factory for the family selector
the stream to draw replicates with
the stream provider