CRAN Package Check Results for Package mbclusterwise

Last updated on 2023-10-02 09:04:54 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0 9.85 92.42 102.27 OK
r-devel-linux-x86_64-debian-gcc 1.0 9.66 70.54 80.20 OK
r-devel-linux-x86_64-fedora-clang 1.0 126.83 OK
r-devel-linux-x86_64-fedora-gcc 1.0 124.18 ERROR
r-devel-windows-x86_64 1.0 11.00 117.00 128.00 OK
r-patched-linux-x86_64 1.0 12.99 90.09 103.08 OK
r-release-linux-x86_64 1.0 11.37 90.42 101.79 OK
r-release-macos-arm64 1.0 52.00 OK
r-release-macos-x86_64 1.0 85.00 OK
r-release-windows-x86_64 1.0 12.00 138.00 150.00 OK
r-oldrel-macos-arm64 1.0 45.00 OK
r-oldrel-macos-x86_64 1.0 63.00 OK
r-oldrel-windows-x86_64 1.0 13.00 148.00 161.00 OK

Check Details

Version: 1.0
Check: examples
Result: ERROR
    Running examples in ‘mbclusterwise-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: cw.tenfold
    > ### Title: F-Fold cross-validation for clusterwise multiblock analyses
    > ### Aliases: cw.tenfold
    > ### Keywords: multivariate cluster
    >
    > ### ** Examples
    >
    > data(simdata.red)
    > Data.X <- simdata.red[c(1:8, 21:28), 1:10]
    > Data.Y <- simdata.red[c(1:8, 21:28), 11:13]
    > res1 <- list()
    > res2 <- list()
    >
    > ## Note that the options (INIT=2) and (parallel.level = "low") are chosen to quickly
    > ## illustrate the function.
    > ## For real data, instead choose (INIT=20) to avoid local optima and (parallel.level = "high")
    > ## to improve the computing speed.
    >
    > for (H in c(1:2)){
    + print(paste("H=", H, sep=""))
    + res1[[H]] <- cw.tenfold(Y = Data.Y, X = Data.X, blo = c(5, 5), option = "none", G = 1, H,
    + FOLD = 2, INIT = 2, method = "mbpls", Gamma = NULL, parallel.level = "low")
    + res2[[H]] <- cw.tenfold(Y = Data.Y, X = Data.X, blo = c(5, 5), option = "none", G = 2, H,
    + FOLD = 2, INIT = 2, method = "mbpls", Gamma = NULL, parallel.level = "low")
    + }
    [1] "H=1"
    [1] "Fold 1"
    Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
     Recycling array of length 1 in vector-array arithmetic is deprecated.
     Use c() or as.vector() instead.
    [1] "Fold 2"
    Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
     Recycling array of length 1 in vector-array arithmetic is deprecated.
     Use c() or as.vector() instead.
    [1] "Fold 1"
    Warning in e$fun(obj, substitute(ex), parent.frame(), e$data) :
     already exporting variable(s): mbreg
    Error in { : task 2 failed - "0 x 0 matrix"
    Calls: cw.tenfold -> cw.multiblock -> %dopar% -> <Anonymous>
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc