CODEWITHSUNDEEP
rmultinomialnnet
andyroo
andyroo

Reputation: 11

Get linear predictor from a multinom() model in R

I have made a multinomial model using multinom() from the nnet package. I am trying to do internal validation and update the model but I need the linear predictor values from the model and I cannot seem to access them. I can get the predicted probabilities but cannot find a way to get the linear predictor terms.

I have tried predict(MultiNom1, type = "link") but it seems that you cannot use "link" as an argument for the multinomial mode. Wondering if anyone had any suggestions?

e.g.

require(nnet)
require(rms)
attach(mtcars) 
car <- multinom(gear ~ am + cyl + rcs(mpg, 4)) 
predict(car, type = "link")

Upvotes: 0

Views: 65

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