CRAN Package Check Results for Package glmnet

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

Check Details

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