[R-sig-ME] logistic model with exponential decay

[Fredrik Nilsson]

Dear Ben,

Does it? I interpret Stijn's model as:
logit(y) ~ alpha + beta*x + exp(-T/beta) + possibly multiple error
terms (sample within muscle within toad or some non-nested terms)

which I would find difficult to squeeze into the glmm framework.

Best regards,
Fredrik Nilsson

------------------------
Competence Centre for Clinical Research,
Lund University Hospital, 221 85 Lund, Sweden

2008/12/21 Ben Bolker <bolker at ufl.edu>:
> Stijn Ruiter wrote:
>> Dear list,
>> In SAS I am using NLMIXED to estimate a logistic model that includes
>> exponential decay. Since NLMIXED only allows for a single random
>> statement, I would like to switch to R. Could anyone suggest how to
>> estimate such a model? I cannot find a clear example for estimating
>> these kinds of models with nlmer.
>> I'd like to estimate a logistic model for my dichotomous dependent
>> variable that includes both linear terms and EXP(-Time/Beta).
>> Thanks,
>> Stijn
>>
>
>  it sounds like
>
> lmer(...,family=binomial(link="log"))
>
>  -- i.e., a GLMM rather than a NLMM
>
>  Ben Bolker
>
> --
> Ben Bolker
> Associate professor, Biology Dep't, Univ. of Florida
> bolker at ufl.edu / www.zoology.ufl.edu/bolker
> GPG key: www.zoology.ufl.edu/bolker/benbolker-publickey.asc
>
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