Package: estimability 1.5.1

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).

Authors:Russell Lenth [aut, cre, cph]

estimability_1.5.1.tar.gz
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estimability.pdf |estimability.html
estimability/json (API)
NEWS

# Install 'estimability' in R:
install.packages('estimability', repos = c('https://rvlenth.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rvlenth/estimability/issues

Pkgdown/docs site:https://rvlenth.github.io

On CRAN:

Conda:

9.33 score 2 stars 258 packages 23 scripts 119k downloads 8 exports 0 dependencies

Last updated from:6a8faac64b. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesLog
linux-devel-x86_64NOTE116
source / vignettesOK160
linux-release-x86_64NOTE111
macos-devel-arm64NOTE103
macos-release-arm64NOTE80
windows-develNOTE60
windows-releaseNOTE61
windows-oldrelNOTE67
wasm-releaseOK98

Exports:all.estbleepredictestble.subspaceeupdateis.estblelegacy.nonest.basisnonest.basisnonest.basis.svd

Dependencies:

How to add estimability checking to your model's predict method

Rendered fromadd-est-check.Rmdusingknitr::rmarkdownon Mar 04 2026.

Last update: 2024-05-04
Started: 2024-02-19

Readme and manuals

Help Manual

Help pageTopics
Estimability Tools for Linear Modelsestimability-package estimability
Estimability Enhancements for 'lm' and Relativesepredict epredict.glm epredict.lm epredict.mlm eupdate eupdate.lm
Find an estimable subspaceestble.subspace
Estimability Toolsall.estble is.estble legacy.nonest.basis nonest.basis nonest.basis.default nonest.basis.lm nonest.basis.matrix nonest.basis.qr nonest.basis.svd