CRAN Package Check Results for Package glmnet

Last updated on 2017-10-21 02:48:40.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0-13 14.38 70.37 84.75 OK
r-devel-linux-x86_64-debian-gcc 2.0-13 15.79 73.57 89.36 OK
r-devel-linux-x86_64-fedora-clang 2.0-13 181.84 OK
r-devel-linux-x86_64-fedora-gcc 2.0-13 184.59 OK
r-devel-windows-ix86+x86_64 2.0-13 56.00 197.00 253.00 OK
r-patched-linux-x86_64 2.0-13 14.77 71.92 86.69 OK
r-patched-solaris-x86 2.0-13 189.80 ERROR
r-release-linux-x86_64 2.0-13 14.50 72.90 87.40 OK
r-release-windows-ix86+x86_64 2.0-13 58.00 149.00 207.00 OK
r-release-osx-x86_64 2.0-13 OK
r-oldrel-windows-ix86+x86_64 2.0-13 43.00 169.00 212.00 OK
r-oldrel-osx-x86_64 2.0-13 OK

Check Details

Version: 2.0-13
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