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>.
| Version: |
1.8.4-1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
estimability (≥ 1.4.1), graphics, methods, numDeriv, stats, utils, mvtnorm |
| Suggests: |
bayesplot, bayestestR, biglm, brms, car, coda (≥ 0.17), ggplot2, lattice, logspline, mediation, mgcv, multcomp, multcompView, nlme, ordinal (≥ 2014.11-12), pbkrtest (≥
0.4-1), lme4, lmerTest (≥ 2.0.32), MASS, MuMIn, rsm, knitr, rmarkdown, sandwich, scales, splines, testthat, xtable (≥
1.8-2) |
| Enhances: |
CARBayes, coxme, gee, geepack, MCMCglmm, MCMCpack, mice, nnet, pscl, rstanarm, sommer, survival |
| Published: |
2023-01-17 |
| Author: |
Russell V. Lenth [aut, cre, cph],
Paul Buerkner [ctb],
Iago Giné-Vázquez [ctb],
Maxime Herve [ctb],
Maarten Jung [ctb],
Jonathon Love [ctb],
Fernando Miguez [ctb],
Hannes Riebl [ctb],
Henrik Singmann [ctb] |
| Maintainer: |
Russell V. 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 |
| In views: |
MixedModels |
| CRAN checks: |
emmeans results |
| Reverse depends: |
CTP, LabApplStat, lsmeans, pubh, RRphylo |
| Reverse imports: |
agriTutorial, AgroR, ANCOMBC, ARTool, augmentedRCBD, bruceR, dataquieR, DBERlibR, distdichoR, eda4treeR, FactoMineR, grafify, ibd, inti, iNZightPlots, jmv, JWileymisc, LinkHD, LMMstar, LongDat, mi4p, multid, multilevelcoda, OlinkAnalyze, piecewiseSEM, qusage, SDLfilter, seedreg, SimplyAgree, sjstats, statgenGxE, statgenSTA, Superpower |
| Reverse suggests: |
afex, agridat, asremlPlus, bayestestR, brms, broom, broom.helpers, catseyes, effectsize, estimatr, gfilmm, GGally, ggeffects, ggstats, GLMMadaptive, glmmSeq, glmmTMB, gtsummary, insight, marginaleffects, mmrm, modelbased, nlraa, papaja, parameters, PowerTOST, r2rtf, rbmi, rempsyc, robustlmm, rsm, rstatix, RVAideMemoire, s20x, sdmTMB, see, semTools, standardize, structToolbox, tidybayes |
| Reverse enhances: |
mclogit |