search for: linkstr

...1 0 generating starting values...done calling optim() for ML estimation: Error in optim(fn = loglikfun, gr = gradfun, par = c(start$count, start$zero, : non-finite value supplied by optim In addition: Warning message: In glm.fit(Z, as.integer(Y0), weights = weights, family = binomial(link = linkstr)) : fitted probabilities numerically 0 or 1 occurred I get the same optim error when I run a similar call using hurdle instead of zeroinfl. However, both commands work fine when the interaction terms is removed ( Nbr_Abs~ Zone + Year + Source). Is this a case of some kind of linear relationship...

Dear Mr. or Ms.,   I used the R-software to run the zero-inflatoin negative binomial model (zeroinfl()) .   Firstly, I introduced one dummy variable to the model as an independent variable, and I got the estimators of parameters. But the results are not satisfied to me. So I introduced three dummy variables to the model. but I could not get the results. And the error message is