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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>.
Version: | 1.10.3 |
Depends: | R (≥ 4.1.0) |
Imports: | estimability (≥ 1.4.1), graphics, methods, numDeriv, stats, utils, mvtnorm |
Suggests: | bayesplot, bayestestR, biglm, brms, car, coda (≥ 0.17), ggplot2, lattice, logspline, mediation, mgcv, multcomp, multcompView, nlme, ordinal (≥ 2014.11-12), pbkrtest (≥ 0.4-1), lme4, lmerTest (≥ 2.0.32), MASS, MuMIn, rsm, knitr, rmarkdown, sandwich, scales, splines, testthat, tibble, xtable (≥ 1.8-2) |
Enhances: | CARBayes, coxme, gee, geepack, MCMCglmm, MCMCpack, mice, nnet, pscl, rstanarm, sommer, survival |
Published: | 2024-07-01 |
DOI: | 10.32614/CRAN.package.emmeans |
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], Julia Piaskowski [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb] |
Maintainer: | Russell V. Lenth <russell-lenth at uiowa.edu> |
BugReports: | https://github.com/rvlenth/emmeans/issues |
License: | GPL-2 | GPL-3 |
URL: | https://rvlenth.github.io/emmeans/,https://rvlenth.github.io/emmeans/ |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | MixedModels |
CRAN checks: | emmeans results |
Package source: | emmeans_1.10.3.tar.gz |
Windows binaries: | r-devel: emmeans_1.10.3.zip, r-release: emmeans_1.10.3.zip, r-oldrel: emmeans_1.10.3.zip |
macOS binaries: | r-release (arm64): emmeans_1.10.3.tgz, r-oldrel (arm64): emmeans_1.10.2.tgz, r-release (x86_64): emmeans_1.10.3.tgz, r-oldrel (x86_64): emmeans_1.10.2.tgz |
Old sources: | emmeans archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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