Suggests: nlme, lme4, pbkrtest, lattice, multcompView, car

Suggests: nlme, lme4, pbkrtest (>= 0.4-1), lattice, multcompView, car,
Enhances: survival, MASS, coxme, gee, geepack, glmmADMB, afex
Description: This package provides methods for obtaining least-squares means for various linear models. It can also compute contrasts or linear combinations of these least-squares means, comparisons of slopes, plots, and compact letter displays.

Author: Russell V. Lenth [aut], Maxime Hervé [ctb]
Suggests: pbkrtest (>= 0.4-1), lattice, multcompView, car, mediation,
Enhances: afex, coxme, gee, geepack, glmmADMB, lme4, MASS, nlme,

Imports: multcomp, plyr, Matrix, mvtnorm
Description: Obtain least-squares means for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of least-squares means, and comparisons of slopes. Plots and compact letter displays.

Depends: estimability, methods, R (>= 3.0)

Suggests: car, lattice, MCMCpack, mediation, multcompView, ordinal,
Enhances: afex, coxme, gee, geepack, glmmADMB, lme4, MASS, MCMCglmm,
Imports: coda (>= 0.17), multcomp, plyr, mvtnorm

pbkrtest (>= 0.4-1), afex, CARBayes, coxme, gee, geepack,
glmmADMB, lme4.0, lme4, MASS, MCMCglmm, nlme, survival
Description: Obtain least-squares means for many linear, generalized linear,
and mixed models. Compute contrasts or linear functions of least-squares
means, and comparisons of slopes. Plots and compact letter displays.

glmmADMB, lme4.0, lme4, MASS, MCMCglmm, survival
Imports: graphics, stats, utils, nlme, coda (>= 0.17), multcomp, plyr,

Authors@R: c(person("Russell", "Lenth", role = c("aut", "cre"),
person("Maxime", "Herv\\'e", role = "ctb"))
pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
lme4.0, lme4, MASS, MCMCglmm, nnet, survival

Depends: estimability, methods, R (>= 3.2)
lme4.0, lme4, MASS, MCMCglmm, nnet, pscl, survival

lme4.0, lme4, lmerTest (>= 2.0.32), MASS, MCMCglmm, nnet, pscl,

person("Jonathon", "Love", role = "ctb"))

lme4, lmerTest (>= 2.0.32), MASS, MCMCglmm, nnet, pscl, rsm,
Imports: estimability, graphics, stats, utils, nlme, coda (>= 0.17),
multcomp, plyr, mvtnorm, xtable (>= 1.8-2)
and mixed models. Compute contrasts or linear functions of
least-squares means, and comparisons of slopes.
Plots and compact letter displays. Least-squares means were proposed in
Harvey, W (1960) "Least-squares analysis of data with unequal subclass numbers",
Tech Report ARS-20-8, USDA National Agricultural Library, and discussed
further in Searle, Speed, and Milliken (1980) "Population marginal means
in the linear model: An alternative to least squares means",
NOTE: Users are encouraged to switch to the 'emmeans' package,
as 'lsmeans' will be archived in the not-too-distant future.