[R] Running a likelihood ratio test for a logit model

[Dimitris Rizopoulos]

the print method for glm object already shows you the null and 
residual deviance with the associated df; look also at the "Value" 
section of ?glm.

I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://www.med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm



----- Original Message ----- 
From: "Chris Bergstresser" <chris at subtlety.com>
To: <r-help at stat.math.ethz.ch>
Sent: Thursday, May 18, 2006 9:20 AM
Subject: [R] Running a likelihood ratio test for a logit model


> Hi all --
>
>   I have to calculate a likelihood ratio test for a logit model.  I
> found logLik, but I need to calculate the log likelihood for the 
> model
> without any predictors.  How can I specify this in glm?  If the full
> model is glm(y ~ x1), is the one without predictors (y ~ 0)?  Or (y 
> ~
> 1)?
>   Is there a more direct way of getting this?
>
> -- Chris
>
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