Hi all,
I have a dataset in which the output Y is observed on two groups of
patients (treatment factor T with 2 levels).
Every subject in each group is observed three times (not time points but
just technical replication).
I am interested in estimating the treatment effect and take into account
Hi everyone,
According to R reference manual, the nnet function uses the BFGS method
of optim to optimize the neural network parameters.
I would like, when calling the function nnet to tell the optim function
not to produce the tracing information on the progress of the
optimization, or at least
Hi everybody,
I want to obtain a classification model using the nnet function for a
simple two class problem.
My problem is that number of samples in the first class (n1) is about twice
higher than the one
in class two (n2). I would like to use the weights argument in the nnet
function to
Hi everyone,
I am trying to build a R library called nnNorm but I have some troubles
checking and installing it.
Here is the setup:
If I don't use a inst\doc directory(with the vignettes files) in my source,
the install step is working fine:
C:\testRCMD INSTALL nnNorm
-- Making
Hi I got two questions about the nnet function in R. I would be thankful to
have an answer.
1) Does the function intrinsically normalize the X and Y matrices before
the training, or normalization should be
done by the user.
2) I need to understand the $wts matrix. I do imagine that it is a
