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Hi, I was wondering why anova() and drop1() give different tail probabilities for F tests. I guess overdispersion is calculated differently in the following example, but why? Thanks for any advice, Tom For example: > x<-c(2,3,4,5,6) > y<-c(0,1,0,0,1) > b1<-glm(y~x,binomial) > b2<-glm(y~1,binomial) > drop1(b1,test="F") Single term deletions Model: y ~

I have several SIP clients which connect to Asterisk. Is it possible to use a H323 client account (username/password combination) as a gateway/proxy for these SIP clients when they need to call someone on this H323 network, just like using an IAX2-gateway (registering an username/password combi). I took a look in the archives, but couldn't find anything related. But then again, I might not