emmeans (1.11.2-8)

Published 2026-02-24 13:47:10 +00:00 by atheaadmin

Installation

options("repos" = c(getOption("repos"), c(gitea="")))
install.packages("emmeans")

About this package

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>.Estimated Marginal Means, aka Least-Squares Means

Dependencies

Imports estimability (>= 1.4.1), graphics, methods, mvtnorm, numDeriv, stats, utils
Depends R (>= 4.1.0)
Suggests bayesplot, bayestestR, biglm, brms, car, coda (>= 0.17), compositions, ggplot2, knitr, lattice, lme4, lmerTest (>= 2.0.32), logspline, MASS, mediation, mgcv, multcomp, multcompView, MuMIn, nlme, ordinal (>= 2014.11-12), pbkrtest (>= 0.4-1), rmarkdown, rsm, sandwich, scales, splines, testthat, tibble, xtable (>= 1.8-2)
Details
CRAN
2026-02-24 13:47:10 +00:00
0
GPL-2 | GPL-3
Russell V. Lenth
Balazs Banfai
Ben Bolker
Paul Buerkner
Iago Giné-Vázquez
Maxime Hervé
Maarten Jung
Jonathon Love
Fernando Miguez
Julia Piaskowski
Hannes Riebl
Henrik Singmann
1.5 MiB
Assets (1)
Versions (1) View all
1.11.2-8 2026-02-24