Create a governed missingness specification

Usage

create_pupil_missingness_spec(
  response = c("exclude", "model"),
  predictors = character(),
  assumptions = "MAR",
  auxiliary_predictors = character()
)

Arguments

response: Either "exclude" or "model". "model" uses brms missing-response syntax and is interpreted under an explicitly declared MAR-oriented modelling assumption, not as proof that MAR holds.
predictors: Character vector of predictor columns whose missing values should be modelled jointly.
assumptions: Currently only "MAR" is accepted for modelling.
auxiliary_predictors: Optional fully observed columns to use in the missing-predictor submodels.

Value

A gp3bayes_pupil_missingness_spec object.