Hi,

I'm trying to impute a large data set using mice but I keep getting this:
Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax =
TRUE,  :
  too many (2944) weights

nnet.default uses the argument MaxNWts to set a maximum number of weights.
I've tried to change nnet.default to get around this, but mice is somehow
still passing an argument that sets the maximum number of weights to be less
than what I need.

Does anyone know how to change the parameters that mice is passing to
nnet/nnet.default?

Thanks,
Rachel

	[[alternative HTML version deleted]]

