If you are using the nnet package, the caret package has a variable importance method based on Gevrey, M., Dimopoulos, I., & Lek, S. (2003). Review and comparison of methods to study the contribution of variables in artificial neural network models. Ecological Modelling, 160(3), 249-264. It is based on the estimated weights.
Max On Wed, Dec 4, 2013 at 6:41 AM, Giulia Di Lauro <giulia.dila...@gmail.com>wrote: > Hi everybody, > I created a neural network for a regression analysis with package ANN, but > now I need to know which is the significance of each predictor variable in > explaining the dependent variable. I thought to analyze the weight, but I > don't know how to do it. > > Thanks in advance, > Giulia Di Lauro. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Max [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
