Last updated on 2017-07-31 01:46:59.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 2.0-10 | 19.17 | 83.66 | 102.83 | OK | |
r-devel-linux-x86_64-debian-gcc | 2.0-10 | 20.37 | 72.01 | 92.38 | OK | |
r-devel-linux-x86_64-fedora-clang | 2.0-10 | 178.95 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 2.0-10 | 190.49 | OK | |||
r-devel-windows-ix86+x86_64 | 2.0-10 | 81.00 | 193.00 | 274.00 | OK | |
r-patched-linux-x86_64 | 2.0-10 | 19.50 | 84.73 | 104.23 | OK | |
r-patched-solaris-x86 | 2.0-10 | 202.00 | ERROR | |||
r-release-linux-x86_64 | 2.0-10 | 19.07 | 83.80 | 102.87 | OK | |
r-release-windows-ix86+x86_64 | 2.0-10 | 46.00 | 198.00 | 244.00 | OK | |
r-release-osx-x86_64 | 2.0-10 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 2.0-10 | 57.00 | 138.00 | 195.00 | OK | |
r-oldrel-osx-x86_64 | 2.0-10 | OK |
Version: 2.0-10
Check: examples
Result: ERROR
Running examples in ‘glmnet-Ex.R’ failed
The error most likely occurred in:
> ### Name: plot.cv.glmnet
> ### Title: plot the cross-validation curve produced by cv.glmnet
> ### Aliases: plot.cv.glmnet
> ### Keywords: models regression
>
> ### ** Examples
>
> set.seed(1010)
> n=1000;p=100
> nzc=trunc(p/10)
> x=matrix(rnorm(n*p),n,p)
> beta=rnorm(nzc)
> fx= (x[,seq(nzc)] %*% beta)
> eps=rnorm(n)*5
> y=drop(fx+eps)
> px=exp(fx)
> px=px/(1+px)
> ly=rbinom(n=length(px),prob=px,size=1)
> cvob1=cv.glmnet(x,y)
Error in intI(j, n = x@Dim[2], dn[[2]], give.dn = FALSE) :
'NA' indices are not (yet?) supported for sparse Matrices
Calls: cv.glmnet ... NextMethod -> predict.glmnet -> [ -> [ -> subCsp_cols -> intI
Execution halted
Flavor: r-patched-solaris-x86