Hello,

>It seems that the newest version of lme4 (0.999999-0) now provides P values 
in the summary tables.

Nope, they were only removed for Gaussian models, and still are, try:

fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
summary(fm1)

#other attached packages:
#[1] lme4_0.999999-0 

whereas they were never removed for binomial/poisson GLMMs.


Cheers,
Luca


-----Original Message-----
From: Christoph Scherber <Christoph.Scherber@agr.uni-goettingen.de>
To: "r-sig-mixed-models@r-project.org" <r-sig-mixed-models@r-project.org>
Date: Thu, 12 Jul 2012 14:09:36 +0200
Subject: [R-sig-ME] P values in summary tables from lmer objects

Dear all,

It seems that the newest version of lme4 (0.999999-0) now provides P values 
in the summary tables.
Given the many previous discussions about the derivation of P values in 
lmer, I was just wondering
how "safe" it would now be to use these values (and how they´re 
calculated). I guess they´re just
taken internally from a call to glm?

Example:

##
gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),
              family = binomial, data = cbpp)
summary(gm1)
coef(summary(gm1))

##

Many thanks,
Christoph


[running R 2.15.1 on Windows 7 32-Bit]






--
PD Dr Christoph Scherber
Georg-August University Goettingen
Department of Crop Science
Agroecology
Grisebachstrasse 6
D-37077 Goettingen
Germany
phone 0049 (0)551 39 8807
fax 0049 (0)551 39 8806
http://www.gwdg.de/~cscherb1

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