· 2017
emmeans: Estimated Marginal Means, aka Least-Squares Means
- 8,335citations
- 2017year
Short summary
The 'emmeans' R package provides a unified framework for obtaining estimated marginal means (EMMs) and performing post-hoc analyses for a wide range of linear, generalized linear, and mixed models.
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Key points
- Provides estimated marginal means (EMMs) for linear, generalized linear, and mixed models.
- Supports computation of contrasts, linear functions, trends, and slope comparisons.
- Includes options for graphical displays and other visualizations.
AI-generated from the title and abstract; the full text is not read.
Abstract
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 <<a href="https://doi.org/10.1080%2F00031305.1980.10483031" target="_top">doi:10.1080/00031305.1980.10483031</a>>.
The authors' abstract, as published at the source., 2017 · DOI ↗
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Field: Statistics and Probability
Statistics and ProbabilityMathematics