CRAN Package Check Results for Package aCRM

Last updated on 2016-12-28 23:46:59.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.1 1.46 24.60 26.06 NOTE
r-devel-linux-x86_64-debian-gcc 0.1.1 1.32 24.17 25.50 NOTE
r-devel-linux-x86_64-fedora-clang 0.1.1 45.70 NOTE --no-stop-on-test-error
r-devel-linux-x86_64-fedora-gcc 0.1.1 45.00 NOTE --no-stop-on-test-error
r-devel-macos-x86_64-clang 0.1.1 37.08 NOTE --no-stop-on-test-error
r-devel-windows-ix86+x86_64 0.1.1 7.00 67.00 74.00 NOTE
r-patched-linux-x86_64 0.1.1 1.38 21.13 22.52 NOTE
r-patched-solaris-sparc 0.1.1 261.20 NOTE
r-patched-solaris-x86 0.1.1 54.30 NOTE
r-release-linux-x86_64 0.1.1 1.35 21.62 22.98 NOTE
r-release-osx-x86_64-mavericks 0.1.1 NOTE
r-release-windows-ix86+x86_64 0.1.1 6.00 44.00 50.00 NOTE
r-oldrel-windows-ix86+x86_64 0.1.1 5.00 59.00 64.00 OK

Check Details

Version: 0.1.1
Check: R code for possible problems
Result: NOTE
    Aggregate: no visible global function definition for ‘aggregate’
    Aggregate: no visible binding for global variable ‘tail’
    Aggregate: no visible binding for global variable ‘var’
    cocktailEnsemble: no visible global function definition for ‘glm’
    cocktailEnsemble: no visible global function definition for ‘binomial’
    cocktailEnsemble: no visible global function definition for ‘step’
    cocktailEnsemble: no visible binding for global variable ‘na.omit’
    imputeMissings : <anonymous>: no visible global function definition for
     ‘median’
    predict.cocktailEnsemble: no visible global function definition for
     ‘predict’
    Undefined global functions or variables:
     aggregate binomial glm median na.omit predict step tail var
    Consider adding
     importFrom("stats", "aggregate", "binomial", "glm", "median",
     "na.omit", "predict", "step", "var")
     importFrom("utils", "tail")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-linux-x86_64, r-release-osx-x86_64-mavericks, r-release-windows-ix86+x86_64

Version: 0.1.1
Check: Rd line widths
Result: NOTE
    Rd file 'cocktailEnsemble.Rd':
     \examples lines wider than 100 characters:
     Credit <- data.frame(Credit[order(runif(nrow(Credit ))),])[1:100,c('V2','V3','V8','V11','V14','V15','Response')]
    
    Rd file 'predict.cocktailEnsemble.Rd':
     \examples lines wider than 100 characters:
     Credit <- data.frame(Credit[order(runif(nrow(Credit ))),])[1:100,c('V2','V3','V8','V11','V14','V15','Response')]
    
    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-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.1
Flags: --no-stop-on-test-error
Check: R code for possible problems
Result: NOTE
    Aggregate: no visible global function definition for ‘aggregate’
    Aggregate: no visible binding for global variable ‘tail’
    Aggregate: no visible binding for global variable ‘var’
    cocktailEnsemble: no visible global function definition for ‘glm’
    cocktailEnsemble: no visible global function definition for ‘binomial’
    cocktailEnsemble: no visible global function definition for ‘step’
    cocktailEnsemble: no visible binding for global variable ‘na.omit’
    imputeMissings : <anonymous>: no visible global function definition for
     ‘median’
    predict.cocktailEnsemble: no visible global function definition for
     ‘predict’
    Undefined global functions or variables:
     aggregate binomial glm median na.omit predict step tail var
    Consider adding
     importFrom("stats", "aggregate", "binomial", "glm", "median",
     "na.omit", "predict", "step", "var")
     importFrom("utils", "tail")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-macos-x86_64-clang

Version: 0.1.1
Flags: --no-stop-on-test-error
Check: Rd line widths
Result: NOTE
    Rd file 'cocktailEnsemble.Rd':
     \examples lines wider than 100 characters:
     Credit <- data.frame(Credit[order(runif(nrow(Credit ))),])[1:100,c('V2','V3','V8','V11','V14','V15','Response')]
    
    Rd file 'predict.cocktailEnsemble.Rd':
     \examples lines wider than 100 characters:
     Credit <- data.frame(Credit[order(runif(nrow(Credit ))),])[1:100,c('V2','V3','V8','V11','V14','V15','Response')]
    
    These lines will be truncated in the PDF manual.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc