CRAN Package Check Results for Package glmnet

Last updated on 2018-05-22 15:48:37 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0-16 22.92 103.20 126.12 OK
r-devel-linux-x86_64-debian-gcc 2.0-16 18.28 80.45 98.73 OK
r-devel-linux-x86_64-fedora-clang 2.0-16 158.60 OK
r-devel-linux-x86_64-fedora-gcc 2.0-16 158.83 OK
r-devel-windows-ix86+x86_64 2.0-16 54.00 179.00 233.00 OK
r-patched-linux-x86_64 2.0-16 20.99 92.32 113.31 OK
r-patched-solaris-x86 2.0-16 184.30 ERROR
r-release-linux-x86_64 2.0-16 20.50 91.02 111.52 OK
r-release-windows-ix86+x86_64 2.0-16 57.00 167.00 224.00 OK
r-release-osx-x86_64 2.0-16 OK
r-oldrel-windows-ix86+x86_64 2.0-16 58.00 138.00 196.00 OK
r-oldrel-osx-x86_64 2.0-16 OK

Check Details

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