Package: emmeans
Type: Package
Title: Estimated Marginal Means, aka Least-Squares Means
Version: 1.3.4
Date: 2019-04-21
Authors@R: c(person("Russell", "Lenth", role = c("aut", "cre", "cph"), 
    email = "russell-lenth@uiowa.edu"),
    person("Henrik", "Singmann", role = "ctb"),
    person("Jonathon", "Love", role = "ctb"),
    person("Paul", "Buerkner", role = "ctb"),
    person("Maxime", "Herve", role = "ctb"))
Depends: R (>= 3.2)
Imports: estimability (>= 1.3), graphics, methods, numDeriv, stats,
        utils, plyr, mvtnorm, xtable (>= 1.8-2)
Suggests: bayesplot, biglm, brms, car, coda (>= 0.17), ggplot2,
        lattice, mediation, mgcv, multcomp, multcompView, nlme, ordinal
        (>= 2014.11-12), pbkrtest (>= 0.4-1), lme4, lmerTest (>=
        2.0.32), MASS, MuMIn, rsm, knitr, rmarkdown, scales, testthat
Enhances: CARBayes, coxme, gee, geepack, MCMCglmm, MCMCpack, mice,
        nnet, pscl, rstanarm, sommer, survival
URL: https://github.com/rvlenth/emmeans
BugReports: https://github.com/rvlenth/emmeans/issues
LazyData: yes
ByteCompile: yes
Description: 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>.
License: GPL-2 | GPL-3
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-21 19:09:07 UTC; rlenth
Author: Russell Lenth [aut, cre, cph],
  Henrik Singmann [ctb],
  Jonathon Love [ctb],
  Paul Buerkner [ctb],
  Maxime Herve [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>
Repository: CRAN
Date/Publication: 2019-04-21 19:50:02 UTC
Built: R 3.4.4; ; 2019-04-25 19:23:47 UTC; windows
