Hi, I am running glm logit regressions with R and I would like to test a linear combination of coefficients (H0: beta1=beta2 against H1: beta1<>beta2). Is there a package for such a test or how can I perform it otherwise (perhaps with logLik() ???)?
Additionally I was wondering if there was no routine to calculate pseudo R2s for logit regressions. Currently I am calculating the pseudo R2 by comparing the maximum value of the log-Likelihood-function of the fitted model with the maximum log-likelihood-function of a model containing only a constant. Any better ideas? Thanks a lot for your help. David ###################################### David Stadelmann Seminar für Finanzwissenschaft Université de Fribourg Bureau F410 Bd de Pérolles 90 CH-1700 Fribourg SCHWEIZ Tel: +41 (026) 300 93 82 Fax: +41 (026) 300 96 78 Tel (priv): +41 (044) 586 78 99 Mob (priv): +41 (076) 542 33 48 Email: [EMAIL PROTECTED] Internet: http://www.unifr.ch/finwiss Internet (priv): http://david.stadelmann-online.com ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
