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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. This helper reuses the principle in documentation/validation/estimability_gamma.R.

Usage

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

Arguments

object

A cmlnmr() fit.

newdata

One target population, 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.