tulpa 0.0.196

0.0.196

• The simulation-based-calibration and goodness-of-fit entry points are S3
  generics, so a downstream package registers a method on its own fit object
  instead of exporting a second name for the same concept. sbc(),
  pit_residuals(), test_dispersion(), test_outliers() and
  test_zero_inflation() now dispatch; every existing body became the
  default method, and sbc("prior_predictive", ...) / sbc("posterior", ...)
  keep working unchanged through sbc.character(). A call passing the
  experiment BY NAME (sbc(experiment = "posterior")) has to drop the name or
  use object =, since the first argument is what dispatch reads.

• dic() and cpo() are new generics over the same criteria layer
  [tulpa_criteria()] computes, for the two criteria the loo package owns no
  generic for. The default methods take a pointwise log-likelihood matrix. WAIC
  and PSIS-LOO deliberately get none: loo::waic() and loo::loo() already
  exist, and a same-named generic here would mask them.

• test_uniformity() muffles only the ties warning a discrete response
  produces, rather than every warning the Kolmogorov-Smirnov test can raise.