Re: [R] lme library

From: Ben Bolker <>
Date: Tue, 18 Mar 2008 18:53:39 +0000 (UTC)

 <roberta_varriale <at>> writes:

> I’m able to estimate a null model.
> For example, using SAS data, I can estimate the model:
> lme(y ~ 1, data = Mississippi, random = ~ 1|influent, method="ML")
> As suggested in the literature I want to “test” the significance of the
> second level variance. So, I would like also to estimate a linear model
> without random effects. Is it possible with your library?
> In the description of the function lme I found that the random part is
> optional, but I don't know how to remove it.

  In general, linear models without random effects are fit with lm() , which is part of base R. If you need other fancy things (heteroscedasticity, spatial autocorrelation etc.) you can use gls in the nlme package.

  Ben Bolker mailing list PLEASE do read the posting guide and provide commented, minimal, self-contained, reproducible code. Received on Tue 18 Mar 2008 - 19:04:57 GMT

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