Hi,
I am currently using package ‘mice’ to do multiple imputation for tourist
data here. Then the complete datasets (e.g. m>= 100) will be analyzed
with a finite mixture model using package ‘flexmix’. I have found that it
seems no feasible way to combine the multiple results into a final one
Hei,
I just wonder the use of family=binomial in glm function.
As I learned from book (e.g. Andy Field) that logistic regression (binary
logit) can use glm funtion with family = binomial. Here the y is a factor
variable (e.g. value = 1 or 2).
But I have also seen i many other cases, same
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