estimability: Tools for Assessing Estimability of Linear Predictions

Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly. Estimability theory is discussed in many linear-models textbooks including Chapter 3 of Monahan, JF (2008), "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).

Version: 1.5.1
Depends: stats, R (≥ 4.1.0)
Suggests: knitr, rmarkdown
Published: 2024-05-12
DOI: 10.32614/CRAN.package.estimability
Author: Russell Lenth [aut, cre, cph]
Maintainer: Russell Lenth <russell-lenth at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: estimability results


Reference manual: estimability.pdf
Vignettes: How to add estimability checking to your model's 'predict' method


Package source: estimability_1.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): estimability_1.5.1.tgz, r-oldrel (arm64): estimability_1.5.1.tgz, r-release (x86_64): estimability_1.5.1.tgz, r-oldrel (x86_64): estimability_1.5.1.tgz
Old sources: estimability archive

Reverse dependencies:

Reverse imports: effects, emmeans, rsm
Reverse suggests: estimatr, fddm, fixest, GLMMadaptive, glmmTMB, LabApplStat, logistf, mmrm, robustlmm, sdmTMB, survstan


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