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: 1.4.1
Depends: stats
Published: 2022-08-05
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


Package source: estimability_1.4.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): estimability_1.4.1.tgz, r-oldrel (arm64): estimability_1.4.1.tgz, r-release (x86_64): estimability_1.4.1.tgz, r-oldrel (x86_64): estimability_1.4.1.tgz
Old sources: estimability archive

Reverse dependencies:

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


Please use the canonical form to link to this page.