[R] Mixed effect model in R
Stefan Grosse
singularitaet at gmx.net
Tue Oct 17 18:38:20 CEST 2006
Please always reply to the list as well as there always might be someone
faster/better answering (or it could be that I am wrong, so someone
might correct me)
Indeed Pinheiro/Bates assume gaussian error terms... but I am not really
sure whether you meant that with "non normally distributed respond
variable" resp. "with non-normal data"
however:
"/ Mixed-effects models: / The recommended nlme
<http://cran.r-project.org/src/contrib/Descriptions/nlme.html> package,
associated with Pinheiro and Bates, / Mixed-Effects Models in S and
S-PLUS / (Springer, 2000), fits linear and nonlinear mixed-effects
models, commonly used in the social sciences for hierarchical and
longitudinal data. Generalized linear mixed-effects models may be fit by
the glmmPQL function in the MASS package, and by the lmer function in
the Matrix
<http://cran.r-project.org/src/contrib/Descriptions/Matrix.html> package
(related to the lme4
<http://cran.r-project.org/src/contrib/Descriptions/lme4.html> package,
which largely supersedes nlme
<http://cran.r-project.org/src/contrib/Descriptions/nlme.html> for /
linear / mixed models). Also see the lmeSplines
<http://cran.r-project.org/src/contrib/Descriptions/lmeSplines.html> and
lmm <http://cran.r-project.org/src/contrib/Descriptions/lmm.html>
packages." [
http://cran.r-project.org/src/contrib/Views/SocialSciences.html ]
Lina Jansen schrieb:
>
>
> 2006/10/17, Stefan Grosse <singularitaet at gmx.net
> <mailto:singularitaet at gmx.net>>:
>
> Interesting packages for you might be the nlme and lme4 packages
> and as
> a book Pinheiro/Bates, "Mixed-Effects Models in S and S-Plus"
>
>
> Thank you for the answer. I am always unsure concerning the
> non-normality. Can I use the nlme and lme4 with non-normal data?
> First, I thought they would work like an ANOVA but with random and
> fixed effects.
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