This package provides the function 'lsmeans' for
outputting so-called least-squares means for factor
combinations in an 'lm', 'lme', or 'lmer' object. It can also
compute contrasts or linear combinations of these least-squares
means, and several standard contrast families are provided.

This package provides the function 'lsmeans' for outputting so-called least-squares means for factor combinations in an 'lm', 'lme', or 'lmer' object. It can also compute contrasts or linear combinations of these least-squares means, and several standard contrast families are provided.

nlme, lme4, pbkrtest, lattice, multcompView
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, interaction plots, and compact letter displays.

nlme, lme4, pbkrtest, lattice, multcompView, car

nlme, lme4, pbkrtest (>= 0.4-1), lattice, multcompView, car,
mediation
survival, MASS, coxme, gee, geepack, glmmADMB, afex
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.

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

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.

car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1)
afex, coxme, gee, geepack, glmmADMB, lme4, MASS, MCMCglmm,
nlme, survival

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