This function computes p-values for mixed effects models
(merMod-objects) that have been fitted with the
lme4-package.
Usage
merMod_p(x, p.kr = TRUE)
Arguments
x
A fitted (generalized) linear (mixed) model (merMod-object).
p.kr
Logical, if TRUE, the computation of p-values is based on
conditional F-tests with Kenward-Roger approximation for the df (see
'Details').
Value
A named vector with p-values for the model coefficients.
Details
For linear mixed models (lmerMod-objects), the computation of
p-values (if p.kr = TRUE) is based on conditional F-tests
with Kenward-Roger approximation for the df, using the
pbkrtest-package. If pbkrtest is not available or
p.kr = FALSE, or if x is a glmerMod-object,
computation of p-values is based on normal-distribution assumption,
treating the t-statistics as Wald z-statistics.
If p-values already have been computed (e.g. for merModLmerTest)-objects
from the lmerTest-package), these will be returned.