Can anyone help me on how to get the nodes and weights of the adaptive
quadrature
using R.
Best wishes
Boikanyo.
-
The University of Glasgow, charity number SC004401
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I am using the lmer function from the lme4 package. I wrote the
following statement, specifying the method to be adaptive Gaussian
quadrature. I am getting an error saying "method = "AGQ" not yet
implemented for supernodal representation". Please help. How can i implement
AGQ.
fit<-lmer(respons
I am using the lmer function from the lme4 package. I wrote the
following statement, specifying the method to be adaptive Gaussian
quadrature. I am getting an error saying "method = "AGQ" not yet
implemented for supernodal representation". Please help.
> fit <-
lmer(response~beta1+(1|patien
I will like to analyse a binary cross over design using the random
effects model. The probability of success is assumed to be logistic.
Suppose as an example, we have 4 subjects undergoing a crossover design,
where the outcome is either success or failure. The first two subjects
receive treatme
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