I am using mice to do multiple imputation. The dataset contains 150
variables with around 8,000 observations.

I got the following message:
Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax
= TRUE,  :
  too many (1540) weights

Then I changed this: MaxNWts = 2000

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

Can anyone share your thoughts? Thanks.

Reply via email to