R: Compute p-values and MCMC confidence intervals for mixed...
pvals.fnc
R Documentation
Compute p-values and MCMC confidence intervals for mixed models
Description
This function used to calculate p-values and HPD intervals for the
parameters of models fitted with lmer.
As MCMC is no longer supported by lme4, this function is now obsolete
and does no longer produce any output, other than a warning.
See the lme4 function pvalues() for alternatives.
Usage
pvals.fnc(object, ...)
Arguments
object
a LMM or GLMM model object of class lmerMod
...
Optional arguments that can be passed down.
Value
A warning.
Author(s)
R. H. Baayen
See Also
pvalues
Examples
## Not run:
data(primingHeid)
library(lme4)
# remove extreme outliers
primingHeid = primingHeid[primingHeid$RT < 7.1,]
# fit mixed-effects model
# we will stay as close to the older optimizer of lme4 as possible -
# this requires the optimx package and using the control option of lmer()
require(optimx)
require(lmerTest)
primingHeid.lmer = lmer(RT ~ RTtoPrime * ResponseToPrime +
Condition + (1|Subject) + (1|Word), data = primingHeid,
control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb")))
summary(primingHeid.lmer)
anova(primingHeid.lmer)
## End(Not run)