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:

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