car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), afex, CARBayes, coxme, gee, geepack,
glmmADMB, lme4.0, lme4, MASS, MCMCglmm, survival
graphics, stats, utils, nlme, coda (>= 0.17), multcomp, plyr,
mvtnorm

c(person("Russell", "Lenth", role = c("aut", "cre"),
email = "russell-lenth@uiowa.edu"),
person("Maxime", "Herv\\'e", role = "ctb"))
car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
lme4.0, lme4, MASS, MCMCglmm, nnet, survival
Russell Lenth [aut, cre],
Maxime Herv\'e [ctb]

car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
lme4.0, lme4, MASS, MCMCglmm, nnet, pscl, survival

c(person("Russell", "Lenth", role = c("aut", "cre"),
email = "russell-lenth@uiowa.edu"))
car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
lme4.0, lme4, lmerTest (>= 2.0.32), MASS, MCMCglmm, nnet, pscl,
survival
graphics, stats, utils, nlme, coda (>= 0.17), multcomp, plyr,
mvtnorm, xtable (>= 1.8-2)

car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
lme4.0, lme4, lmerTest (>= 2.0.32), MASS, MCMCglmm, nnet, pscl,
rsm, survival

car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
lme4.0, lme4, lmerTest (>= 2.0.32), MASS, MCMCglmm, nnet, pscl,
rsm, rstan, rstanarm, survival

c(person("Russell", "Lenth", role = c("aut", "cre", "cph"),
email = "russell-lenth@uiowa.edu"),
person("Jonathon", "Love", role = "ctb"))
Russell Lenth [aut, cre, cph],
Jonathon Love [ctb]

car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
lme4, lmerTest (>= 2.0.32), MASS, MCMCglmm, nnet, pscl, rsm,
rstan, rstanarm, survival
estimability, graphics, stats, utils, nlme, coda (>= 0.17),
multcomp, plyr, mvtnorm, xtable (>= 1.8-2)
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. 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",
The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
NOTE: Users are encouraged to switch to the 'emmeans' package,
as 'lsmeans' will be archived in the not-too-distant future.