[R] GLMM for unbalanced data

From: spime <sabya23_at_gmail.com>
Date: Tue, 15 May 2007 20:32:52 -0700 (PDT)

Hi friends,

I need some help regarding generalized linear mixed model of unbalanced data.

  1. Is their any package for applying Monte-Carlo Newton-Raphson (MCNR) or Monte-Carlo EM (MCEM) to estimate fixed and random effects?
  2. My data is unbalanced (groups having unequal number of observations) and random-effect design matrix is not containing only 1's but some function of x(predictors). e.g.,

z =

[avg(x1jk)    0          0         0         0            0
    0       avg(x2jk)    0         0         0            0
   ...            ...         ...        ...        ...           ...
    0            0          0         0          0           avg(x6jk)]

where avg(xijk) = an (n_k X 1) column vector of average of jth measurement available for the ith subject in group k and n_k is the no. of observations in kth group.

is it possible to apply glmmPQL or any other packge in this situation? If possible kindly tell me how?

Thanks in advance.
Waiting for reply.           

View this message in context: http://www.nabble.com/GLMM-for-unbalanced-data-tf3762358.html#a10635105
Sent from the R help mailing list archive at Nabble.com.

R-help_at_stat.math.ethz.ch mailing list
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Received on Wed 16 May 2007 - 03:37:33 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Wed 16 May 2007 - 08:32:08 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.