Statistics, Department of

 

The R Journal

Date of this Version

6-2016

Document Type

Article

Citation

The R Journal (June 2015) 7(1); Editor: Bettina Grün

Comments

Copyright 2015, The R Foundation. Open access material. License: CC BY 3.0 Unported

Abstract

When a linear model is rank-deficient, then predictions based on that model become questionable because not all predictions are uniquely estimable. However, some of them are, and the estimability package provides tools that package developers can use to tell which is which. With the use of these tools, a model object’s predict method could return estimable predictions as-is while f lagging non-estimable ones in some way, so that the user can know which predictions to believe. The estimability package also provides, as a demonstration, an estimability-enhanced epredict method to use in place of predict for models fitted using the stats package.

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