[R] Define a glm object with user-defined coefficients (logistic regression, family="binomial")

Jürgen Biedermann juergen.biedermann at googlemail.com
Sat Nov 13 13:43:01 CET 2010

Hi there,

I just don't find the solution on the following problem. :(

Suppose I have a dataframe with two predictor variables (x1,x2) and one 
depend binary variable (y). How is it possible to define a glm object 
(family="binomial") with a user defined logistic function like p(y) = 
exp(a + c1*x1 + c2*x2) where c1,c2 are the coefficents which I define. 
So I would like to do no fitting of the coefficients. Still, I would 
like to define a GLM object because I could then easily use other 
functions which need a glm object as argument (e.g. I could use the 
anova, summary functions).

Thank you very much! Greetings

Jürgen Biedermann
Blücherstraße 56
10961 Berlin-Kreuzberg
Mobil: +49 176 247 54 354
Home: +49 30 250 11 713
e-mail: juergen.biedermann at gmail.com

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