emmeans: 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 compact letter 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: 1.1
Depends: R (≥ 3.2)
Imports: estimability, ggplot2, graphics, methods, stats, utils, nlme, coda (≥ 0.17), multcomp, plyr, mvtnorm, xtable (≥ 1.8-2)
Suggests: bayesplot, car, lattice, mediation, multcompView, ordinal, pbkrtest (≥ 0.4-1), lme4, lmerTest (≥ 2.0.32), MASS, rsm, knitr, rmarkdown, testthat
Enhances: CARBayes, coxme, gee, geepack, glmmADMB, MCMCglmm, MCMCpack, nnet, pscl, rstanarm, survival
Published: 2018-01-10
Author: Russell Lenth [aut, cre, cph], Jonathon Love [ctb], Maxime Herve [ctb]
Maintainer: Russell Lenth <russell-lenth at uiowa.edu>
BugReports: https://github.com/rvlenth/emmeans/issues
License: GPL-2 | GPL-3
URL: https://github.com/rvlenth/emmeans
NeedsCompilation: no
Materials: README NEWS
CRAN checks: emmeans results


Reference manual: emmeans.pdf
Vignettes: FAQs for emmeans
Basics of EMMs
Comparisons and contrasts
Confidence intervals and tests
Interaction analysis in emmeans
Working with messy data
Models supported by emmeans
Sophisticated models in emmeans
Transformations and link functions
Transitioning to emmeans from lsmeans
Utilities and options
Extending emmeans
Package source: emmeans_1.1.tar.gz
Windows binaries: r-devel: emmeans_1.1.zip, r-release: emmeans_1.1.zip, r-oldrel: emmeans_1.1.zip
OS X El Capitan binaries: r-release: emmeans_1.1.tgz
OS X Mavericks binaries: r-oldrel: emmeans_1.0.tgz
Old sources: emmeans archive

Reverse dependencies:

Reverse depends: afex
Reverse imports: agriTutorial, jmv, sjstats
Reverse suggests: broom, rsm, RVAideMemoire


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