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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 uiowa.edu>
BugReports: https://github.com/rvlenth/estimability/issues
License: GPL (≥ 3)
URL: https://github.com/rvlenth/estimability, https://rvlenth.github.io/estimability/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: estimability results

Documentation:

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

Downloads:

Package source: estimability_1.5.1.tar.gz
Windows binaries: r-devel: estimability_1.5.1.zip, r-release: estimability_1.5.1.zip, r-oldrel: estimability_1.5.1.zip
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, spmodel, survstan

Linking:

Please use the canonical form https://CRAN.R-project.org/package=estimability to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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