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fatbin
2006 May 06
2
How to test for significance of random effects?
Dear list members,
I'm interested in showing that within-group statistical dependence is
negligible, so I can use ordinary linear models without including random
effects. However, I can find no mention of testing a model with vs.
without random effects in either Venable & Ripley (2002) or Pinheiro and
Bates (2000). Our in-house statisticians are not familiar with this,
either,
2006 May 03
1
qu: predict with lmer (lme4) or other ways to get classification accuracy
Hi,
I am using lmer (from the package lme4) to predict a binary response
variable (REL) from a bunch of fixed effects and two random effects
(Speaker_ID and NPhead_lemma):
fit <- lmer(REL ~
SPEAKER_GENDER +
log(SPEECHRATE) +
SQSPEECHRATE +
.....
+ (1|Speaker_ID) + (1|NPhead_lemma),
family="binomial",
data=data.lmer,
method="Laplace", model=T, x=T)
I