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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 .

Maintainer: Russell V Lenth
Author(s): Russell Lenth [aut, cre, cph], Henrik Singmann [ctb], Jonathon Love [ctb], Paul Buerkner [ctb], Maxime Herve [ctb]

License: GPL-2 | GPL-3

Uses: estimability, mvtnorm, numDeriv, plyr, xtable, biglm, car, coda, ggplot2, lattice, lme4, mgcv, multcompView, multcomp, nlme, mediation, rsm, MASS, testthat, ordinal, MuMIn, scales, pbkrtest, knitr, lmerTest, rmarkdown, brms, bayesplot
Enhances: MCMCpack, gee, geepack, mice, pscl, survival, MCMCglmm, coxme, nnet, CARBayes, rstanarm, sommer
Reverse depends: afex, ibd, lsmeans, pubh
Reverse suggests: afex, agridat, ARTool, asremlPlus, bayestestR, broom, catseyes, effectsize, estimatr, ggeffects, GLMMadaptive, glmmTMB, nlraa, rsm, rstatix, RVAideMemoire, see, tidybayes

Released about 1 month ago.

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