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sqspeechrate
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 would like to get classification accuracies for the derived model,
or even do some evaluation (cross-validation), but I cannot find a way
to get...