Plausibility: Exact inference in R

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.