Compute p-values and MCMC confidence intervals for mixed models
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.
pvals.fnc(object, ...)
object |
a |
... |
Optional arguments that can be passed down. |
A warning.
R. H. Baayen
pvalues
## 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.