Estimated Marginal Means, aka Least-Squares Means R package emmeans version 2.0.4 CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) 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>. Software Depends: R (>= 4.1.0) Imports: estimability (>= 1.4.1), graphics, methods, mvtnorm, numDeriv, rlang, stats, utils Suggests: bayesplot, bayestestR, biglm, brms, car, coda (>= 0.17), compositions, ggplot2 (>= 4.0.0), knitr, lattice, lme4, lmerTest (>= 2.0.32), logspline, MASS, mediation, mgcv, multcomp, multcompView, MuMIn, nlme, ordinal (>= 2014.11-12), pbkrtest (>= 0.4-1), rmarkdown, robmixglm, rsm, sandwich, scales, splines, testthat, tibble, xtable (>= 1.8-2) Enhances: CARBayes, coxme, gee, geepack, MCMCglmm, MCMCpack, mice, nnet, pscl, rstanarm, sommer, survival Julia Piaskowski <julia.piask@gmail.com> Comprehensive R Archive Network (CRAN) Russell V. Lenth [aut, cph], Julia Piaskowski [cre, aut], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Giné-Vázquez [ctb], Maxime Hervé [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb], Alexis Derumigny [ctb], Paul Schmidt [ctb] GPL-2 GPL-3 2026-07-15 application/tgz https://CRAN.R-project.org/package=emmeans doi:10.32614/CRAN.package.emmeans