 Dear all,

I am new to R and would like to run a multinomial logistic regression on my dataset (3 predictors for 1 dependent variables)

I have used the vglm function from the VGAM package and got some results. Using the predict() function, I obtained the probability table I was looking for. However, I would like to fully understand how the predict() function generates the probabilities or in other terms, what is the equation that gives a probability from the intercept and the coefficients from the regression.

I also ran an ordinal logistic regression using the lrm() functions from the Design package and reached the same result without being able to explain the probability calculation process.

Would anyone be able to help?

Thanks,

Olivier

	[[alternative HTML version deleted]]


