CRAN Package Check Results for Package plsRcox

Last updated on 2018-06-24 16:49:00 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.7.3 23.83 206.17 230.00 ERROR
r-devel-linux-x86_64-debian-gcc 1.7.3 18.33 158.36 176.69 ERROR
r-devel-linux-x86_64-fedora-clang 1.7.3 272.97 OK
r-devel-linux-x86_64-fedora-gcc 1.7.3 259.13 OK
r-devel-windows-ix86+x86_64 1.7.3 39.00 221.00 260.00 OK
r-patched-linux-x86_64 1.7.3 19.81 180.25 200.06 ERROR
r-patched-solaris-x86 1.7.3 348.40 OK
r-release-linux-x86_64 1.7.3 21.72 176.25 197.97 ERROR
r-release-windows-ix86+x86_64 1.7.3 51.00 182.00 233.00 OK
r-release-osx-x86_64 1.7.3 OK
r-oldrel-windows-ix86+x86_64 1.7.3 38.00 295.00 333.00 OK
r-oldrel-osx-x86_64 1.7.3 OK

Check Details

Version: 1.7.3
Check: examples
Result: ERROR
    Running examples in ‘plsRcox-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: plsRcox
    > ### Title: Partial least squares Regression generalized linear models
    > ### Aliases: plsRcox plsRcoxmodel.default plsRcoxmodel.formula
    > ### Keywords: models regression
    >
    > ### ** Examples
    >
    > data(micro.censure)
    > data(Xmicro.censure_compl_imp)
    >
    > X_train_micro <- apply((as.matrix(Xmicro.censure_compl_imp)),FUN="as.numeric",MARGIN=2)[1:80,]
    > X_train_micro_df <- data.frame(X_train_micro)
    > Y_train_micro <- micro.censure$survyear[1:80]
    > C_train_micro <- micro.censure$DC[1:80]
    >
    > plsRcox(X_train_micro,time=Y_train_micro,event=C_train_micro,nt=5)
    Error in UseMethod("plsRcoxmodel") :
     no applicable method for 'plsRcoxmodel' applied to an object of class "c('matrix', 'double', 'numeric')"
    Calls: plsRcox
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64