Plausibility: Exact inference in R

Stefan Böhringer; Jesse Swen

Plausibility: Exact inference in R

Methodology 2026-07-02 v1

Authors: Stefan Böhringer , Jesse Swen

Abstract

Plausbility is a theoretical framework that allows to conduct exact inference in general parametric families. We introduce R-packages {\em plausibility} that implements this framework for a wide class of regression models. Plausibility can also be used to test penalized regression models such as estimated by package {\em glmnet}. We illustrate the package using a number of R data sets Through a class-based mechanism, the package can be easily extended. We illustrate and discuss computation aspects of the implementation and their impact on real-data analysis.

Cite

@article{arxiv.2607.01976,
  title  = {Plausibility: Exact inference in R},
  author = {Stefan Böhringer and Jesse Swen},
  journal= {arXiv preprint arXiv:2607.01976},
  year   = {2026}
}