tulpaObs 0.0.197

0.0.197 (2026-08-11)

• Every diagnostic is now one verb, dispatched on the fit (breaking). The
  package exported a parallel tobs_* spelling for diagnostics that already had
  an owner elsewhere, so the same concept carried two names and neither could
  dispatch. Each is now an S3 method on the generic of whichever package owns
  the concept, and the generic is re-exported here, so attaching tulpaObs is
  enough to reach it:

  was	now	generic from
  tobs_waic(fit)	waic(fit)	loo
  --	loo(fit)	loo
  tobs_cpo(fit)	cpo(fit)	tulpa
  tobs_dic(fit)	dic(fit)	tulpa
  tobs_sbc(fit)	sbc(fit)	tulpa
  tobs_pit_residuals(fit)	pit_residuals(fit)	tulpa
  tobs_test_uniformity(pit)	test_uniformity(pit)	tulpa
  tobs_test_dispersion(fit)	test_dispersion(fit)	tulpa
  tobs_test_outliers(fit)	test_outliers(fit)	tulpa
  tobs_test_zero_inflation(fit)	test_zero_inflation(fit)	tulpa
  tobs_ppc(fit)	ppc(fit)	tulpaObs
  tobs_check(fit)	check_model(fit)	tulpa

  The old names are removed rather than aliased. Results are unchanged: each
  method is the previous function body, and test_uniformity() runs the same
  Kolmogorov-Smirnov test on the same PIT vector.

• loo(fit) is new, and returns a genuine psis_loo object, so
  [loo::loo_compare()] and the model-weight machinery read a tobs_fit
  directly. It builds the same pointwise log-likelihood matrix the other
  criteria use and hands it to PSIS with relative effective sample sizes off the
  chain layout -- the builder tobs_stack() already used per member.

• tobs_check() is now check_model(fit), and it draws the panel its
  generic promises. [tulpa::check_model()] errored on a tobs_fit before
  this: its default method builds the panel from fitted() and residuals()
  as numeric vectors, and a latent-state fit has neither (fitted() returns
  list(psi, p, z)), so the response could not be resolved. The method reads
  the same quantities through the family's own doors instead -- pit_residuals(),
  ppc(), test_dispersion(), moran_i() -- printing the roll-up report as
  before and drawing a QQ-uniform, PPC, dispersion and (given coords)
  correlogram panel beside it. plot = FALSE prints the report alone. Nothing
  is simulated twice: the panel plots what the report already computed, which is
  why test_dispersion() now also returns the simulated variances in $sim.

• ppc() deliberately did not fold into tulpa::pp_check(). That generic
  draws a graphical check while ppc() returns a Bayesian p-value, and a method
  has to honour its generic's contract, so the discrepancy check became its own
  generic.

• loo moves from Suggests to Imports (it now owns two of the doors), and
  requires tulpa >= 0.0.196 for the generics.