CRAN Package Check Results for Package glmnet

Last updated on 2019-03-27 00:47:57 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0-16 25.22 113.17 138.39 OK
r-devel-linux-x86_64-debian-gcc 2.0-16 21.15 87.41 108.56 OK
r-devel-linux-x86_64-fedora-clang 2.0-16 172.48 OK
r-devel-linux-x86_64-fedora-gcc 2.0-16 166.48 OK
r-devel-windows-ix86+x86_64 2.0-16 85.00 173.00 258.00 OK
r-patched-linux-x86_64 2.0-16 23.63 103.61 127.24 OK
r-patched-solaris-x86 2.0-16 189.20 ERROR
r-release-linux-x86_64 2.0-16 21.85 104.01 125.86 OK
r-release-windows-ix86+x86_64 2.0-16 56.00 169.00 225.00 OK
r-release-osx-x86_64 2.0-16 OK
r-oldrel-windows-ix86+x86_64 2.0-16 43.00 143.00 186.00 ERROR
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

Version: 2.0-16
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'glmnet-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: cv.glmnet
    > ### Title: Cross-validation for glmnet
    > ### Aliases: 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)
    > set.seed(1011)
    > cvob1=cv.glmnet(x,y)
    > plot(cvob1)
    > coef(cvob1)
    101 x 1 sparse Matrix of class "dgCMatrix"
    Error in isFALSE(suppRows) : could not find function "isFALSE"
    Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 2.0-16
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'glmnet-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: cv.glmnet
    > ### Title: Cross-validation for glmnet
    > ### Aliases: 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)
    > set.seed(1011)
    > cvob1=cv.glmnet(x,y)
    > plot(cvob1)
    > coef(cvob1)
    101 x 1 sparse Matrix of class "dgCMatrix"
    Error in isFALSE(suppRows) : could not find function "isFALSE"
    Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 2.0-16
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Quitting from lines 115-116 (glmnet_beta.Rmd)
    Error: processing vignette 'glmnet_beta.Rmd' failed with diagnostics:
    could not find function "isFALSE"
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64