[R] Can lmer() fit a multilevel model embedded in a regression?

[ronggui]

I don't answser your question directly.I juset point out that  Rnews
2005-1 has an article about lmer :Fitting linear mixed models in R
Using the lme4 package by the author of the package Matrix.The article
says "lmer handles nested and non-nested grouping factors
equally easily". Hope This helps.

2006/5/20, Andrew Gelman <gelman at stat.columbia.edu>:
> I would like to fit a hierarchical regression model from Witte et al.
> (1994; see reference below).  It's a logistic regression of a health
> outcome on quntities of food intake; the linear predictor has the form,
> X*beta + W*gamma,
> where X is a matrix of consumption of 82 foods (i.e., the rows of X
> represent people in the study, the columns represent different foods,
> and X_ij is the amount of food j eaten by person i); and W is a matrix
> of some other predictors (sex, age, ...).
>
> The second stage of the model is a regression of X on some food-level
> predictors.
>
> Is it possible to fit this model in (the current version of) lmer()?
> The challenge is that the persons are _not_ nested within food items, so
> it is not a simple multilevel structure.
>
> We're planning to write a Gibbs sampler and fit the model directly, but
> it would be convenient to be able to flt in lmer() as well to check.
>
> Andrew
>
> ---
>
> Reference:
>
> Witte, J. S., Greenland, S., Hale, R. W., and Bird, C. L. (1994).
> Hierarchical regression analysis applied to a
> study of multiple dietary exposures and breast cancer.  Epidemiology 5,
> 612-621.
>
> --
> Andrew Gelman
> Professor, Department of Statistics
> Professor, Department of Political Science
> gelman at stat.columbia.edu
> www.stat.columbia.edu/~gelman
>
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>
> Mailing address:
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>
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-- 
»ÆÈÙ¹ó
Deparment of Sociology
Fudan University