Estimated Marginal Means, aka Least-Squares Means
c(person("Russell V.", "Lenth", role = c("aut", "cph"), 
                    email = "russell-lenth@uiowa.edu"),
    person("Julia", "Piaskowski", role = c("cre", "aut"),
           email = "julia.piask@gmail.com"),
    person("Balazs", "Banfai", role = "ctb"),
    person("Ben", "Bolker", role = "ctb"),
    person("Paul", "Buerkner", role = "ctb"),
    person("Iago", "Giné-Vázquez", role = "ctb"),
    person("Maxime", "Hervé", role = "ctb"),
    person("Maarten", "Jung", role = "ctb"),
    person("Jonathon", "Love", role = "ctb"),
    person("Fernando", "Miguez", role = "ctb"),
    person("Hannes", "Riebl", role = "ctb"),
    person("Henrik", "Singmann", role = "ctb"))
estimability (>= 1.4.1), graphics, methods, mvtnorm, numDeriv,
rlang, stats, utils
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)
CARBayes, coxme, gee, geepack, MCMCglmm, MCMCpack, mice,
nnet, pscl, rstanarm, sommer, survival
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>.
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]