How to set MaxNWts value in R

问题

I am trying to impute categorical data through the mice package.

{qualiD = mice(quali,1, seed=123)}

And I get the following error:

{Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE, : too many (2184) weights}

I tried increasing the number of weights by including the MaxNWts param.

{qualiD = mice(quali,1, seed=123, MaxNWts = 3000)}

But then again i get this error:

{Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE, : formal argument "MaxNWts" matched by multiple actual arguments}

回答1:

Pass the argument using nnet.MaxNWts

qualiD = mice(quali,1, seed=123, nnet.MaxNWts = 3000)

This is described in the documentation of the mice imputation functions, e.g. mice.impute.polr

来源：https://stackoverflow.com/questions/43571859/how-to-set-maxnwts-value-in-r