[R-sig-ME] Fw: (no subject)

[Ben Bolker]

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On 15-03-10 05:46 AM, mervat mohamed via R-sig-mixed-models wrote:
> many thanx i appreciate your help, but  i concern about Glynn and 
> Wakefield model, and i want to use the lmer function to perform
> this model and estimate the parameters of the attached model (18)
> 
> 
> 

  I'm sorry, but this is a little bit too much for me to handle right
now.  I don't have any background on a "Glynn and Wakefield" model is:
I found this

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2801082/
(Glynn, Wakefield, Handcock, and Richardson 2008)
which seems very close but not identical to the JPGs you included
(note that the mailing list strips most attachments).  Maybe they
published a book chapter closely related to their paper?

  Good luck.


> 
> 
> 
> On Monday, March 9, 2015 11:12 PM, Ben Bolker <bbolker at gmail.com> 
> wrote:
> 
> 
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> On 15-03-09 06:53 AM, mervat mohamed via R-sig-mixed-models wrote:
>> Dear lmer() friends,
>> 
>> I amtrying to estimate a model about regress deviance y on 
>> deviance x
>> 
>> Doesanyone of you has already done this before using lmer()
>> method? i want the code of this model
>> 
>> Thanksa lot
>> 
>> mervat
>> 
>> 
>> 
> 
> transcribing your equation into TeX format:
> 
> (y_{ij} - \bar y_{.j}) = \beta(x_{ij}-\bar x_{.j}) + e_{ij} - \bar 
> e_{.j}
> 
> It's not really clear to me what you want to do.  It looks like it 
> *might* be a random_slope model.  In other words,
> 
> y ~ x + (x|f)
> 
> where x is a continuous covariate and f is a grouping variable 
> (factor) gives
> 
> y_{ij} = beta_0 + beta_1*x + (b_{0j} + b_{1j}*x)
> 
> Where b_{0j} is a group-level deviate from the intercept and
> b_{1j} is a group-level deviation from the slope.
> 
> Is that translatable into your context?
> 
> Depending on how you want your results presented, van de Pol and 
> Wright 2009 might be useful: 
> http://www.myscience.eu/martijn/pdfs/vandePol%26Wright2009_AnimBeh.pdf
>
>
> 
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