emmeans (1.3.2)
Estimated Marginal Means, aka Least-Squares Means.
https://github.com/rvlenth/emmeans
http://cran.r-project.org/web/packages/emmeans
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 .
Maintainer:
Russell V Lenth
Author(s): Russell Lenth [aut, cre, cph], Henrik Singmann [ctb], Jonathon Love [ctb], Paul Buerkner [ctb], Maxime Herve [ctb]
License: GPL-2 | GPL-3
Uses: estimability, mvtnorm, plyr, xtable, biglm, car, coda, ggplot2, lattice, lme4, mgcv, multcompView, multcomp, nlme, mediation, rsm, MASS, testthat, ordinal, pbkrtest, knitr, lmerTest, rmarkdown, brms, bayesplot
Enhances: MCMCpack, gee, geepack, pscl, survival, MCMCglmm, coxme, nnet, CARBayes, rstanarm
Reverse depends: afex, ibd, lsmeans
Reverse suggests: afex, agridat, ARTool, asremlPlus, broom, catseyes, ggeffects, GLMMadaptive, glmmTMB, rsm, RVAideMemoire, tidybayes
Released 28 days ago.
13 previous versions
- emmeans_1.3.1. Released 2 months ago.
- emmeans_1.3.0. Released 4 months ago.
- emmeans_1.2.4. Released 5 months ago.
- emmeans_1.2.3. Released 7 months ago.
- emmeans_1.2.2. Released 8 months ago.
- emmeans_1.2.1. Released 9 months ago.
- emmeans_1.2. Released 10 months ago.
- emmeans_1.1.3. Released 11 months ago.
- emmeans_1.1.2. Released 12 months ago.
- emmeans_1.1. Released about 1 year ago.
- emmeans_1.0. Released about 1 year ago.
- emmeans_0.9.1. Released over 1 year ago.
- emmeans_0.9. Released over 1 year ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of emmeans yet. Want to be the first? Write one now.
Related packages: … (20 best matches, based on common tags.)
Search for emmeans on google, google scholar, r-help, r-devel.
Visit emmeans on R Graphical Manual.
