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arXiv · 2607.01976

Plausibility: Exact inference in R

Stefan Böhringer·Jesse Swen
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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.

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Stefan Böhringer, Jesse Swen. 2026-07-02. Plausibility: Exact inference in R. https://arxiv.org/abs/2607.01976

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