# How are the standard errors computed for the fitted values from a logistic regression with parameter 'response' in R?

I am looking for the equation for the se.fit values when using logistic regression in R. I have seen this answer - How are the standard errors computed for the fitted values from a logistic regression?

but in my case, I'm calling "predict" function with 'type' parameter set to be "response". In this case, the equation given in the linked I attached doesn't hold.

Here is an example of the predict function I'm calling:

predicted.resutls <- predict(glm.model, train.data, type = "response", se.fit=TRUE)

• You can see all the code underlying an r function by typing the function call at the prompt. Aug 10 '14 at 12:04
• thanks gung. I had a look earlier, the function itself is not that easy to understand. Any further information that can help? Aug 10 '14 at 19:08