Refit cML-NMR under tighter and looser priors — prior

Prior movement is an empirical identification diagnostic. Contrasts that move substantially when a weakly identified prior is changed should not be interpreted as data-driven.

Usage

prior_sensitivity(
  object,
  newdata,
  prior = c("gamma", "beta", "all"),
  tighter = 0.5,
  looser = 2,
  reference = NULL,
  ...
)

Arguments

object: A cmlnmr() fit.
newdata: One row of target effect-modifier means, as for relative_effects().
prior: Which scales to vary: the interaction prior, component-effect prior, or all configurable scale priors.
tighter, looser: Positive multipliers for the fitted prior scales.
reference: Reference treatment. Defaults to the fit reference.
...: Named arguments overriding the stored refit call, such as fewer sampling iterations for a screening run.

Value

A cpaic_prior_sensitivity object containing the movement table and the tighter and looser fits.