[R-sig-ME] heteroscedastic model in lme4
Doran, Harold
HDoran at air.org
Thu Jan 15 14:50:51 CET 2009
Arrrg, that whole level 1 level 2 thing eats me up. There are random
effects and everything else is just a covariate. Not quite sure what
your data are, but a random slope can account for the non-constant
variance. Just a random intercept is compound symmetry where random
intercept and slope is a more general covariance structure that allows
for the variance to be different over time.
> -----Original Message-----
> From: Rense Nieuwenhuis [mailto:rense.nieuwenhuis at gmail.com]
> On Behalf Of Rense Nieuwenhuis
> Sent: Thursday, January 15, 2009 8:01 AM
> To: ONKELINX, Thierry
> Cc: Doran, Harold; Alan Cobo-Lewis; r-sig-mixed-models at r-project.org
> Subject: Re: [R-sig-ME] heteroscedastic model in lme4
>
> Dear all,
>
> I'm currently working on a similar problem in which I expect
> the within-group variance to change over years. Of course, in
> an ideal world correlation structures would be readily
> available in lme4, but as Thierry already states, this is not
> the case.
>
> I have been considering a different approach to solve the
> problem, based on statements on heteroscedasticity made by
> Snijders & Bosker (1999, page 119). This only works for
> heteroscedasticity at the second (or higher) level, and if
> this heteroscedasticity can be related to an observed variable.
>
> He argues that the random part of the second level can be defined as:
> U0j + U1j*zj
> "Thus, strange as it may sound, the level-two variable Z
> formally gets a random slope at level two".
>
> In my understanding, this would lead to something like:
>
> glmer(Count ~ A + B + (B|Group), family=poisson)
>
> assuming that B measures a 'group'-level characteristic.
>
> I'm still trying to get a firm grasp on the matter, but
> possibly this solution can help out in certain situations,
>
> kind regards,
>
> Rense Nieuwenhuis
>
>
>
>
>
> On 15 jan 2009, at 11:13, ONKELINX, Thierry wrote:
>
> > glmer(Count ~ A + B + (1|Group), family = poisson)
>
>
>
>
>
> @book{Snijders:1999,
> Author = {Snijders, Tom A.B. and Bosker, Roel J.},
> Date-Added = {2009-01-15 13:48:53 +0100},
> Date-Modified = {2009-01-15 13:49:35 +0100},
> Publisher = {Sage},
> Title = {Multilevel Analysis, an introduction to basic
> and advanced multilevel modelling},
> Year = {1999}}
>
>
More information about the R-sig-mixed-models
mailing list