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DESCRIPTION
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Package: emmeans
Type: Package
Title: Estimated Marginal Means, aka Least-Squares Means
Version: 1.10.4.900001
Date: 2024-08-30
Authors@R: c(person("Russell V.", "Lenth", role = c("aut", "cre", "cph"),
email = "[email protected]"),
person("Ben", "Bolker", role = "ctb"),
person("Paul", "Buerkner", role = "ctb"),
person("Iago", "Giné-Vázquez", role = "ctb"),
person("Maxime", "Herve", role = "ctb"),
person("Maarten", "Jung", role = "ctb"),
person("Jonathon", "Love", role = "ctb"),
person("Fernando", "Miguez", role = "ctb"),
person("Julia", "Piaskowski", role = "ctb"),
person("Hannes", "Riebl", role = "ctb"),
person("Henrik", "Singmann", role = "ctb"))
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), compositions,
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,
tibble, xtable (>= 1.8-2)
Enhances: CARBayes, coxme, gee, geepack, MCMCglmm, MCMCpack, mice,
nnet, pscl, rstanarm, sommer, survival
URL: https://rvlenth.github.io/emmeans/,https://rvlenth.github.io/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 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>.
License: GPL-2 | GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Roxygen: list(old_usage = TRUE)
VignetteBuilder: knitr