PIT residuals for a tobs fit

The tulpa::pit_residuals() method for tobs_fit: the family's own predictive CDF, with the randomisation step a discrete response needs.

Usage

# S3 method for class 'tobs_fit'
pit_residuals(
  object,
  n.samples = 250,
  nsim = NULL,
  seed = NULL,
  observed = NULL,
  ...
)

object: A tobs_fit object.
n.samples: Number of posterior samples (default 250).
nsim: Alias for n.samples, and the name tulpa::test_uniformity() forwards under. An explicit nsim wins, so a uniformity test run at nsim = 2000 draws 2000 samples rather than the default 250.
seed: Optional RNG seed for the posterior-draw selection, forwarded by tulpa::test_uniformity(). Set it and repeated calls return the same residuals; the caller's RNG stream is restored afterwards.
observed: Must be NULL, which is what tulpa::test_uniformity() forwards by default: a latent-state fit scores the response it was fitted to.
...: Must be empty; an unrecognised argument is an error.

Numeric vector of PIT residuals.