Inference based on a t-distribution for ‘lmer’ objects.¶
Description¶
Function lmer_t
provides confidence intervals and p-values based on the m-l-1
heuristic, the Satterthwaite and Kenward-Roger methods for models fitted with lmer
.
Usage¶
lmer_t(object, method = c("Heuristic", "Satterthwaite", "Kenward-Roger"),
level = 0.95)
Arguments¶
object
-
an object representing a linear mixed effects model, as returned by
lmer
method
-
a character string that selects the method used to determine the degrees of freedom.
level
-
a number between 0 and 1, the level of the confidence intervals
Value¶
The function returns a list with two elements "lmer"
- the original object - and
"coefTab"
which is a matrix with estimates, standard errors, t-statistics, degrees of
freedom, lower and upper confidence intervals, and p-values.