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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