Contextual Importance and Utility (CIU) are concepts for outcome explanation of any regression or classification model. CIU is model-agnostic, produces explanations with- out building any intermediate interpretable model and sup- ports explanations on any level of abstraction. CIU is also theoretically simple and it is computation-efficient. However, the lack of CIU software that is easy to install and use ap- pears to be a main obstacle for the interest in and adoption of CIU by the Explainable AI community. The ciu package in R that is described in this paper is intended to overcome that obstacle at least for problems involving tabular data.