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I was wondering if there is any specificity that need to be input in bias.correct.control=list(sd=FALSE, split=NULL, nsplit=1, vars_to_correct="Index_cyl") when dealing with count data models.
I seem to get a good convergence but the bias correction seems to struggle to back calculate my indices (Getting all NAs in parameter_estimates$SD$unbiased$value).
Thank you for your help.
The text was updated successfully, but these errors were encountered:
Hi,
I was wondering if there is any specificity that need to be input in bias.correct.control=list(sd=FALSE, split=NULL, nsplit=1, vars_to_correct="Index_cyl") when dealing with count data models.
I seem to get a good convergence but the bias correction seems to struggle to back calculate my indices (Getting all NAs in parameter_estimates$SD$unbiased$value).
Thank you for your help.
The text was updated successfully, but these errors were encountered: