CRAN Package Check Results for Package OTE

Last updated on 2020-03-29 15:50:57 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0 ERROR
r-devel-linux-x86_64-debian-gcc 1.0 1.78 17.54 19.32 ERROR
r-devel-linux-x86_64-fedora-clang 1.0 29.50 ERROR
r-devel-linux-x86_64-fedora-gcc 1.0 28.49 ERROR
r-devel-windows-ix86+x86_64 1.0 7.00 31.00 38.00 ERROR
r-devel-windows-ix86+x86_64-gcc8 1.0 6.00 39.00 45.00 OK
r-patched-linux-x86_64 1.0 1.77 21.39 23.16 ERROR
r-patched-solaris-x86 1.0 44.70 ERROR
r-release-linux-x86_64 1.0 1.67 24.86 26.53 OK
r-release-windows-ix86+x86_64 1.0 8.00 41.00 49.00 OK
r-release-osx-x86_64 1.0 OK
r-oldrel-windows-ix86+x86_64 1.0 4.00 54.00 58.00 OK
r-oldrel-osx-x86_64 1.0 OK

Check Details

Version: 1.0
Check: examples
Result: ERROR
    Running examples in 'OTE-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: OTClass
    > ### Title: Train the ensemble of optimal trees for classification.
    > ### Aliases: OTClass
    > ### Keywords: OTClass OptTreesEns
    >
    > ### ** Examples
    >
    > #load the data
    >
    > data(Body)
    > data <- Body
    >
    > #Divide the data into training and test parts
    >
    > set.seed(9123)
    > n <- nrow(data)
    > training <- sample(1:n,round(2*n/3))
    > testing <- (1:n)[-training]
    > X <- data[,1:24]
    > Y <- data[,25]
    >
    > #Train OTClass on the training data
    >
    > Opt.Trees <- OTClass(XTraining=X[training,],YTraining = Y[training],t.initial=200)
    Assessing trees for individual performance..............
    Error in order(er) : unimplemented type 'list' in 'orderVector1'
    Calls: OTClass -> order
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64

Version: 1.0
Check: examples
Result: ERROR
    Running examples in ‘OTE-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: OTClass
    > ### Title: Train the ensemble of optimal trees for classification.
    > ### Aliases: OTClass
    > ### Keywords: OTClass OptTreesEns
    >
    > ### ** Examples
    >
    > #load the data
    >
    > data(Body)
    > data <- Body
    >
    > #Divide the data into training and test parts
    >
    > set.seed(9123)
    > n <- nrow(data)
    > training <- sample(1:n,round(2*n/3))
    > testing <- (1:n)[-training]
    > X <- data[,1:24]
    > Y <- data[,25]
    >
    > #Train OTClass on the training data
    >
    > Opt.Trees <- OTClass(XTraining=X[training,],YTraining = Y[training],t.initial=200)
    Assessing trees for individual performance..............
    Error in order(er) : unimplemented type 'list' in 'orderVector1'
    Calls: OTClass -> order
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-solaris-x86