在R中运行multinom（）后如何更改输出

Question

Dear Stackoverflow community,

The default output R produces after running multinom() from the nnet package only includes the coefficients of the dependent variables, the residual deviance and the Akaike Information Criterion. Unfortunately, there is no information whatsoever on the number of observations used at fitting the model, the Wald Chi Square and the pseudo-R2, which Stata provides after a multinomial logit. How could I get these model statistics after multinom ? I am particularly interested in the number of observations, the pseudo R2 and the Wald-chi2 and its significance.

Answer 1

At least to get Wald, you should install and load the 'car' package, And then you can use Anova (note this is different from the lowercase 'anova'). There is a worked example here: http://www.datavis.ca/courses/VCD/R/output/wlf-glogit.html