[BioC] basics of GLMFit

[James W. MacDonald]

On 5/3/2012 9:48 AM, Steve Lianoglou wrote:
> Hi,
>
> On Thu, May 3, 2012 at 3:59 AM, chris Jhon<cjhon217 at gmail.com>  wrote:
>> Hi All,
>>
>> I read the manual of glmFit and fitLRT functions but i would appreciate if
>> any one can explain or (send me a tutorial) about the basics of fitting
>> binomial generalized linear model to a data.
> Is it the "negative binomial" part, or the "glm" part that you are
> curious about learning? Or are you curious about how one actually
> "fits" a model to data?
>
> This is a hard question to answer because there's just so much to know
> and it's unclear what you mean by "the basics" since ... well ...
> depending on your background it's not all that basic ;-)
>
> Have you read through:
> http://en.wikipedia.org/wiki/Generalized_linear_model
>
> Lots of refs there including a link to McCullagh&  Nelder Textbook if

OMG McCullagh & Nelder please make it stop... Save yourself while you 
still can... <dies under a pile of greek letters>

> that's what you're interested in. There's also lots of things that pop
> up when you google "fit glm" (it's not just R help pages, either ;-)
>
> -steve
>

-- 
James W. MacDonald, M.S.
Biostatistician
University of Washington
Environmental and Occupational Health Sciences
4225 Roosevelt Way NE, # 100
Seattle WA 98105-6099