summary of the results of linear mixed effects model fitting of object.
Returns the same output as summary of "merMod" class but with additional
columns with the names "df", "t value" and "Pr(>t)"
representing degrees of freedom, t-statistics and p-values
respectively calculated based on Satterthwaite's or Kenward-Roger's approximations.
summary
Examples
(fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy))
## will give you an additional column with p values for the t test
summary(fm1)
##using Kenward-Roger approximations to degrees of freedom
if(require(pbkrtest))
summary(fm1, ddf="Kenward-Roger")
#will give the summary of lme4 package
summary(fm1, ddf="lme4")