CRAN Package Check Results for Package glmnet

Last updated on 2016-06-30 15:47:56.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-gcc 2.0-5 20.90 65.84 86.74 OK
r-devel-linux-x86_64-fedora-clang 2.0-5 147.77 OK
r-devel-linux-x86_64-fedora-gcc 2.0-5 142.64 OK
r-devel-osx-x86_64-clang 2.0-5 119.49 OK
r-devel-windows-ix86+x86_64 2.0-5 43.00 142.00 185.00 OK
r-patched-linux-x86_64 2.0-5 21.87 69.68 91.55 OK
r-patched-solaris-sparc 2.0-5 1196.80 OK
r-patched-solaris-x86 2.0-5 169.20 ERROR
r-release-linux-x86_64 2.0-5 20.47 64.04 84.51 OK
r-release-osx-x86_64-mavericks 2.0-5 OK
r-release-windows-ix86+x86_64 2.0-5 56.00 167.00 223.00 OK
r-oldrel-windows-ix86+x86_64 2.0-5 52.00 155.00 207.00 OK

Check Details

Version: 2.0-5
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