similar to: passing arguments from nnet to optim

Displaying 8 results from an estimated 8 matches similar to: "passing arguments from nnet to optim"

2006 Apr 10
5
p values for a GEE model
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 the fact that I have repeated measurements for every subject. If I do this with repeated measures
2011 Sep 16
1
parsing error when using R CMD check
Hi all, I am trying to run R CMD check on a package which passes R CMD INSTALL. The check stops because of a parsing problem in the example of a given function at this line: return(res[res$ID %in% list$targetGeneSets,]) The code is ok, since it runs if I paste it in R. Is this a known parsing issue in R CMD check? Thanks, Adi > sessionInfo() R version 2.13.0 (2011-04-13) Platform:
2004 May 04
1
nnet function
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 single column transformation of the two matrices of weighs (input to hidden Ninputs+1 x Nodes) and
2004 Jun 15
1
building R libraries (windows) - R CMD check problems
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:\test>RCMD INSTALL nnNorm ---------- Making package nnNorm ------------ adding build stamp to DESCRIPTION installing R files installing
2015 Oct 01
0
req->nr_phys_segments > queue_max_segments (was Re: kernel BUG at drivers/block/virtio_blk.c:172!)
On Thu, Oct 01, 2015 at 03:10:14AM +0200, Thomas D. wrote: > Hi, > > I have a virtual machine which fails to boot linux-4.1.8 while mounting > file systems: > > > * Mounting local filesystem ... > > ------------[ cut here ]------------ > > kernel BUG at drivers/block/virtio_blk.c:172! > > invalid opcode: 000 [#1] SMP > > Modules linked in: pcspkr
2015 Oct 01
4
kernel BUG at drivers/block/virtio_blk.c:172!
Hi, I have a virtual machine which fails to boot linux-4.1.8 while mounting file systems: > * Mounting local filesystem ... > ------------[ cut here ]------------ > kernel BUG at drivers/block/virtio_blk.c:172! > invalid opcode: 000 [#1] SMP > Modules linked in: pcspkr psmouse dm_log_userspace virtio_net e1000 fuse nfs lockd grace sunrpc fscache dm_snapshot dm_bufio dm_mirror
2015 Oct 01
4
kernel BUG at drivers/block/virtio_blk.c:172!
Hi, I have a virtual machine which fails to boot linux-4.1.8 while mounting file systems: > * Mounting local filesystem ... > ------------[ cut here ]------------ > kernel BUG at drivers/block/virtio_blk.c:172! > invalid opcode: 000 [#1] SMP > Modules linked in: pcspkr psmouse dm_log_userspace virtio_net e1000 fuse nfs lockd grace sunrpc fscache dm_snapshot dm_bufio dm_mirror
2005 Apr 06
0
nnet classification using unbalanced classes
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 equalize the prior probabilities, but I am not sure which values I should assign. My first guess would be