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emmeans: Estimated Marginal Means, aka Least-Squares Means
Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Getting started
Package overview
README.md
Basics of estimated marginal means"
Comparisons and contrasts in emmeans"
Confidence intervals and tests in emmeans"
Explanations supplement"
FAQs for emmeans"
For developers: Extending **emmeans**"
Index of vignette topics"
Interaction analysis in emmeans"
Models supported by emmeans"
Prediction in **emmeans**"
Quick start guide for **emmeans**"
Re-engineering CLDs"
Sophisticated models in emmeans"
Transformations and link functions in emmeans"
Utilities and options for emmeans"
Working with messy data"
Browse package contents
Package details |
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| Author | Russell V. Lenth [aut, cre, cph], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Giné-Vázquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb] |
| Maintainer | Russell V. Lenth <russell-lenth@uiowa.edu> |
| License | GPL-2 | GPL-3 |
| Version | 1.8.9 |
| URL | https://github.com/rvlenth/emmeans |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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