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Quick question: Which function do you use to calculate partial derivatives from a model equation? I've looked at deriv(), but think it gives derivatives, not partial derivatives. Of course my equation isn't this simple, but as an example, I'm looking for something that let's you control whether it's a partial or not, such as: somefunction(y~a+bx, with respect to x,

Hi, I'm trying to figure out how to have R estimate partial derivatives for logit models. As an example, I'm providing a (fake) scored observation in a MNL with 3 categories of Y and 2 predictors (x01 and x02), and show the right way to calculate it, but am looking for how to use an R function, such as deriv() or anything else. Here is my attempt: ### Variables for an observation x01