CRAN Package Check Results for Package mobForest

Last updated on 2021-05-27 12:54:18 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.3.1 9.94 90.75 100.69 ERROR
r-devel-linux-x86_64-debian-gcc 1.3.1 10.12 69.18 79.30 ERROR
r-devel-linux-x86_64-fedora-clang 1.3.1 137.04 ERROR
r-devel-linux-x86_64-fedora-gcc 1.3.1 125.69 ERROR
r-devel-windows-x86_64 1.3.1 20.00 96.00 116.00 OK
r-devel-windows-x86_64-gcc10-UCRT 1.3.1 OK
r-patched-linux-x86_64 1.3.1 16.78 87.44 104.22 OK
r-patched-solaris-x86 1.3.1 189.00 OK
r-release-linux-x86_64 1.3.1 9.06 86.76 95.82 OK
r-release-windows-ix86+x86_64 1.3.1 22.00 124.00 146.00 OK
r-oldrel-macos-x86_64 1.3.1 OK
r-oldrel-windows-ix86+x86_64 1.3.1 18.00 86.00 104.00 OK

Check Details

Version: 1.3.1
Check: examples
Result: ERROR
    Running examples in 'mobForest-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: compute.mse
    > ### Title: Predictive accuracy estimates (MSE) across trees for linear or
    > ### poisson regression model.
    > ### Aliases: compute.mse
    >
    > ### ** Examples
    >
    > # The MSE should be 2.5. Off by 2 half the time, off by 1 the other half
    > response <- matrix(c(rep(0,100), rep(10,100)))
    > predictions <-
    + matrix(nrow=20, ncol = 3,
    + data = c(rep(1,100), rep(8,100), rep(1,100), rep(8,100),
    + rep(1,100), rep(8,100)))
    Error in matrix(nrow = 20, ncol = 3, data = c(rep(1, 100), rep(8, 100), :
     data length differs from size of matrix: [600 != 20 x 3]
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 1.3.1
Check: examples
Result: ERROR
    Running examples in ‘mobForest-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: compute.mse
    > ### Title: Predictive accuracy estimates (MSE) across trees for linear or
    > ### poisson regression model.
    > ### Aliases: compute.mse
    >
    > ### ** Examples
    >
    > # The MSE should be 2.5. Off by 2 half the time, off by 1 the other half
    > response <- matrix(c(rep(0,100), rep(10,100)))
    > predictions <-
    + matrix(nrow=20, ncol = 3,
    + data = c(rep(1,100), rep(8,100), rep(1,100), rep(8,100),
    + rep(1,100), rep(8,100)))
    Error in matrix(nrow = 20, ncol = 3, data = c(rep(1, 100), rep(8, 100), :
     data length differs from size of matrix: [600 != 20 x 3]
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc