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A multivariate, discrete probability distribution used to describe the results of a random experiment where each of $n$ outcomes are placed into one of $k$ nominal categories.

4 votes

test multicollinearity for multinomial logit regression

Multicollinearity The issue seems to be that colldiag() needs a model parameter, which is not appended to the model fit by default in multinom(). But if you set model = TRUE in the multinom call, the …
Johan Larsson's user avatar
4 votes
1 answer
892 views

Using {rms} package for multinomial logit

Is it possible to use the rms package to model multinomials logits, or elsewise to model several binary logits to achieve the same effect? I am aware that there are many other packages specifically de …
Johan Larsson's user avatar
1 vote
Accepted

Using {rms} package for multinomial logit

The answer is no. Having delved into this myself, it appears that it is not possible at the moment. However, it could be accomplished in the future were someone smarter than me to put some effort into …
Johan Larsson's user avatar
3 votes

Confidence interval for predicted probabilities

You can accomplish this with the effects package. Now, for a reproducible example: library(nnet) set.seed(892) x <- c(rnorm(100, 10, 1)) y <- factor(rep_len(1:3, 100)) fit <- multinom(y ~ x) Th …
Johan Larsson's user avatar