R help - Jul 2011 - constrained logit (logistic regression) estimatrion

Dear all,

Is there a way to estimate a constrained binary logit model (logistic
regression). For example if I have

y~x1 x2 x3 to restrict the constant to be constant=0 and the coefficient of
x1 beta1=1?

Thank you

Dimitris


--
View this message in context:
http://r.789695.n4.nabble.com/constrained-logit-logistic-regression-estimatrion-tp3671653p3671653.html
Sent from the R help mailing list archive at Nabble.com.

On Sat, 16 Jul 2011, Dimitris.Kapetanakis wrote:
> Dear all,
>
> Is there a way to estimate a constrained binary logit model (logistic
> regression). For example if I have
>
> y~x1 x2 x3 to restrict the constant to be constant=0 and the coefficient of
> x1 beta1=1?
glm(y ~ 0 + x2 + x3, offset = x1, family = binomial(link = "logit"))

The "0 +" or equivalently "-1 +" suppresses the intercept.

The offset is added to the linear predictor, i.e., corresponds here to 
having an x1 coefficient of 1.

hth,
Z
> Thank you
>
> Dimitris
>
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/constrained-logit-logistic-regression-estimatrion-tp3671653p3671653.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>