CRAN Package Check Results for Package SGL

Last updated on 2014-10-31 11:47:33.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1 1.41 12.49 13.90 NOTE
r-devel-linux-x86_64-debian-gcc 1.1 1.61 12.54 14.14 NOTE
r-devel-linux-x86_64-fedora-clang 1.1 27.99 NOTE
r-devel-linux-x86_64-fedora-gcc 1.1 25.46 NOTE
r-devel-osx-x86_64-clang 1.1 29.09 OK
r-devel-windows-ix86+x86_64 1.1 8.00 31.00 39.00 OK
r-patched-linux-x86_64 1.1 1.62 12.58 14.20 NOTE
r-patched-solaris-sparc 1.1 174.30 OK
r-patched-solaris-x86 1.1 41.40 OK
r-release-linux-ix86 1.1 2.13 615.32 617.46 ERROR
r-release-linux-x86_64 1.1 1.62 14.02 15.63 NOTE
r-release-osx-x86_64-mavericks 1.1 OK
r-release-windows-ix86+x86_64 1.1 10.00 30.00 40.00 OK
r-oldrel-windows-ix86+x86_64 1.1 7.00 32.00 39.00 OK

Check Details

Version: 1.1
Check: Rd line widths
Result: NOTE
    Rd file 'SGL.Rd':
     \usage lines wider than 90 characters:
     SGL(data, index, type = "linear", maxit = 1000, thresh = 0.001, min.frac = 0.1, nlam = 20, gamma = 0.8, standardize = TRUE, verbose = F ... [TRUNCATED]
    
    Rd file 'cvSGL.Rd':
     \usage lines wider than 90 characters:
     cvSGL(data, index, type = "linear", maxit = 1000, thresh = 0.001, min.frac = 0.05, nlam = 20, gamma = 0.8, nfold = 10, standardize = TR ... [TRUNCATED]
    
    These lines will be truncated in the PDF manual.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 1.1
Check: examples
Result: ERROR
    Running examples in ‘SGL-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: SGL
    > ### Title: Fit a GLM with a combination of lasso and group lasso
    > ### regularization
    > ### Aliases: SGL
    > ### Keywords: model regression
    >
    > ### ** Examples
    >
    > n = 50; p = 100; size.groups = 10
    > index <- ceiling(1:p / size.groups)
    > X = matrix(rnorm(n * p), ncol = p, nrow = n)
    > beta = (-2:2)
    > y = X[,1:5] %*% beta + 0.1*rnorm(n)
    > data = list(x = X, y = y)
    > fit = SGL(data, index, type = "linear")
Flavor: r-release-linux-ix86