Last updated on 2019-02-16 13:46:22 CET.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 2.0-16 | 23.14 | 101.01 | 124.15 | OK | |
r-devel-linux-x86_64-debian-gcc | 2.0-16 | 19.35 | 79.86 | 99.21 | OK | |
r-devel-linux-x86_64-fedora-clang | 2.0-16 | 156.04 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 2.0-16 | 149.09 | OK | |||
r-devel-windows-ix86+x86_64 | 2.0-16 | 91.00 | 188.00 | 279.00 | OK | |
r-patched-linux-x86_64 | 2.0-16 | 20.89 | 92.72 | 113.61 | OK | |
r-patched-solaris-x86 | 2.0-16 | 187.90 | ERROR | |||
r-release-linux-x86_64 | 2.0-16 | OK | ||||
r-release-windows-ix86+x86_64 | 2.0-16 | 43.00 | 127.00 | 170.00 | OK | |
r-release-osx-x86_64 | 2.0-16 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 2.0-16 | 57.00 | 193.00 | 250.00 | OK | |
r-oldrel-osx-x86_64 | 2.0-16 | OK |
Version: 2.0-16
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