Hi,
I would like to calculate a Conway-Maxwell-Poisson<http://artax.karlin.mff.cuni.cz/r-help/library/compoisson/html/00Index.html> Regression with the cmp function of the COMPoissonReg package.
However, when I try to run the model, ...
cmp_model = cmp(formula = Vergleich ~c_0001 * Art_Vergleich ,data=Mindset_AV_long_sel)
...I get an error, although I get the output as well:
#(Intercept)                c_00012         Art_Vergleich2 c_00012:Art_Vergleich2
0.5978370             -0.3881165             -0.4567584              0.8161324
Error in xmat %*% par[1:length(betainit)] : requires numeric/complex matrix/vector arguments
I tried to continue with the output I got, but at some point in the procedure suggested by Seller and Lotze, I get another error and no further output:


Error in xmat %*% betahat :

  requires numeric/complex matrix/vector arguments



Is it, maybe, because my two predictors are dichotomous and not continuous? Or is it just a stupid mistake somewhere I should be embarrassed about?



Is there any other way to calculate a regression with the COM poisson distribution? That might be the quicker solution.



I appreciate your help! And sorry, if the post is redundant and/or stupid - this is my first post.



Best,



Silke



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