Please reply to the list as well as others may be able to help you. Comments below.

On 09/01/2016 16:08, Charles Thuo wrote:
I read that glm poisson should have continous predictor variables but my
model has both continous and discrete predictor variables.

I think you need to read more widely.

 In addition
am not sure which link function to use.

If the people who wrote R chose a default link then, since they know more about statistics than you or I, I suggest you use it unless you can think of a good reason to change.


Charles

On 9 Jan 2016 17:27, "Michael Dewey" <li...@dewey.myzen.co.uk
<mailto:li...@dewey.myzen.co.uk>> wrote:

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    Dear Charles

    You showed us a call of glm with which you are presumably not
    satisfied. What happened to disappoint you?

    On 09/01/2016 09:55, Charles Thuo wrote:

        I have the following glm

        v_glm <-
        
glm(claim_count~ave_age+cost+inc.count+p.statcount,data=v,family=poisson)

        claim_count - dependent variable and is discrete

        ave_age - predictor variable and is continuous

        cost - predictor variable and is continuous

        inc_count - predictor variable and is  discrete

        p.statcount - predictor variable and is  discrete

        Which is the most appropriate glm to use for such a model.

        Charles

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