Abstract Inference for the parameters indexing generalised linear models is routinely based on assumption that model correct and a priori specified. This unsatisfactory because chosen usually result of data-adaptive selection process, which may induce excess uncertainty not acknowledged. Moreover, assumptions encoded in rarely represent some known, ground truth, making standard inferences prone...