[R-sig-ME] fixed effects

[Ben Bolker]

None (as indicated by the documentation ...)

On Sat, Oct 3, 2015 at 9:58 PM, Mitchell Maltenfort <mmalten at gmail.com> wrote:
> What is the difference between re.form = ~0 and re.form = NA ?
>
>
> On Saturday, October 3, 2015, Ben Bolker <bbolker at gmail.com> wrote:
>>
>>     Perhaps you want
>>
>>   predict(fm,re.form=~0)
>>
>> ?
>>
>>
>> On Sat, Oct 3, 2015 at 2:38 PM, Chen, Gang (NIH/NIMH) [C]
>> <gangchen at mail.nih.gov> wrote:
>> > With the following generalized linear mixed-effects model:
>> >
>> > fm <- glmer( Y ~ Treatment + ( Treatment  | Subject) + (1|Trial),
>> > family=poisson))
>> >
>> > How can I obtain the estimated fixed effects? fitted() seems to provide
>> > the sum of fixed and random effects, while predict() does not seem to work
>> > because I'm modeling the overdispersion with (1|Trial). I could manually
>> > compute the fixed effects based on the coefficients, but is there a function
>> > available for this purpose?
>> >
>> > Thanks,
>> > Gang
>> >
>> >         [[alternative HTML version deleted]]
>> >
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>>
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