emil

The emil package implements a framework for working with
predictive modeling problems without information leakage.
For an overview of its functionality please read the
original publication included as the package's vignette (to be added).

A toolbox for designing and evaluating predictive models with
    resampling methods. The aim of this package is to provide a simple and
    efficient general framework for working with any type of prediction
    problem, be it classification, regression or survival analysis, that is
    easy to extend and adapt to your specific setting. Some commonly used
    methods for classification, regression and survival analysis are included.

emil: Introduction to the emil package

Description

Arguments