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estimability  

Tools for Assessing Estimability of Linear Predictions
View on CRAN: Click here


Download and install estimability package within the R console
Install from CRAN:
install.packages("estimability")

Install from Github:
library("remotes")
install_github("cran/estimability")

Install by package version:
library("remotes")
install_version("estimability", "1.5.1")



Attach the package and use:
library("estimability")
Maintained by
Russell Lenth
[Scholar Profile | Author Map]
First Published: 2015-01-31
Latest Update: 2022-08-05
Description:
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).
How to cite:
Russell Lenth (2015). estimability: Tools for Assessing Estimability of Linear Predictions. R package version 1.5.1, https://cran.r-project.org/web/packages/estimability. Accessed 09 Apr. 2025.
Previous versions and publish date:
1.0-2 (2015-01-31 11:39), 1.1-1 (2015-09-03 10:21), 1.1 (2015-02-12 07:39), 1.2 (2016-11-19 10:14), 1.3 (2018-02-11 21:58), 1.4.1 (2022-08-05 17:00), 1.4 (2022-07-03 19:30), 1.5 (2024-02-20 06:20)
Other packages that cited estimability R package
View estimability citation profile
Other R packages that estimability depends, imports, suggests or enhances
Complete documentation for estimability
Functions, R codes and Examples using the estimability R package
Some associated functions: epredict.lm . estble-subspace . estimability-package . nonest.basis . 
Some associated R codes: epredict.lm.R . estble-subsp.R . estimability.R .  Full estimability package functions and examples
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