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
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.
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2015, The R Foundation. Open access material. License: CC BY 3.0 Unported