CRAN Package Check Results for Package glmnet

Last updated on 2020-02-20 10:48:53 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.0-2 25.17 159.98 185.15 OK
r-devel-linux-x86_64-debian-gcc 3.0-2 23.87 121.00 144.87 OK
r-devel-linux-x86_64-fedora-clang 3.0-2 233.23 OK
r-devel-linux-x86_64-fedora-gcc 3.0-2 229.41 OK
r-devel-windows-ix86+x86_64 3.0-2 49.00 185.00 234.00 OK
r-devel-windows-ix86+x86_64-gcc8 3.0-2 70.00 250.00 320.00 OK
r-patched-linux-x86_64 3.0-2 22.36 144.17 166.53 OK
r-patched-solaris-x86 3.0-2 235.10 ERROR
r-release-linux-x86_64 3.0-2 22.65 143.05 165.70 OK
r-release-windows-ix86+x86_64 3.0-2 55.00 176.00 231.00 OK
r-release-osx-x86_64 3.0-2 OK
r-oldrel-windows-ix86+x86_64 3.0 24.00 6.00 30.00 ERROR
r-oldrel-osx-x86_64 3.0-2 ERROR

Check Details

Version: 3.0-2
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 plot.cv.relaxed
    > ### 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

Version: 3.0
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-oldrel-windows-ix86+x86_64

Version: 3.0-2
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-oldrel-osx-x86_64