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 flagging 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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For attribution, please cite this work as
Lenth, "The R Journal: Estimability Tools for Package Developers", The R Journal, 2015
BibTeX citation
@article{RJ-2015-016,
author = {Lenth, Russell V.},
title = {The R Journal: Estimability Tools for Package Developers},
journal = {The R Journal},
year = {2015},
note = {https://doi.org/10.32614/RJ-2015-016},
doi = {10.32614/RJ-2015-016},
volume = {7},
issue = {1},
issn = {2073-4859},
pages = {195-199}
}