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 |
Depends: |
stats, R (≥ 4.3.0) |
Suggests: |
knitr, rmarkdown |
Published: |
2024-02-20 |
Author: |
Russell Lenth [aut, cre, cph] |
Maintainer: |
Russell Lenth <russell-lenth at uiowa.edu> |
License: |
GPL (≥ 3) |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
estimability results |
Documentation:
Downloads:
Reverse dependencies:
Reverse imports: |
effects, emmeans, rsm |
Reverse suggests: |
estimatr, fixest, GLMMadaptive, glmmTMB, LabApplStat, logistf, mmrm, robustlmm, sdmTMB, survstan |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=estimability
to link to this page.