CRAN Package Check Results for Package revengc

Last updated on 2019-02-21 01:50:57 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.4 6.33 58.13 64.46 OK
r-devel-linux-x86_64-debian-gcc 1.0.4 4.53 44.20 48.73 OK
r-devel-linux-x86_64-fedora-clang 1.0.4 78.11 OK
r-devel-linux-x86_64-fedora-gcc 1.0.4 72.27 OK
r-devel-windows-ix86+x86_64 1.0.4 13.00 108.00 121.00 OK
r-patched-linux-x86_64 1.0.4 OK
r-patched-solaris-x86 1.0.4 102.80 OK
r-release-linux-x86_64 1.0.4 OK
r-release-windows-ix86+x86_64 1.0.4 8.00 116.00 124.00 OK
r-release-osx-x86_64 1.0.4 OK
r-oldrel-windows-ix86+x86_64 1.0.3 6.00 112.00 118.00 ERROR
r-oldrel-osx-x86_64 1.0.4 ERROR

Check Details

Version: 1.0.3
Check: R code for possible problems
Result: NOTE
    rec: no visible global function definition for 'isFALSE'
    reweight.contingencytable: no visible global function definition for
     'isFALSE'
    Undefined global functions or variables:
     isFALSE
Flavor: r-oldrel-windows-ix86+x86_64

Version: 1.0.3
Check: examples
Result: ERROR
    Running examples in 'revengc-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: rec
    > ### Title: Reverse engineering censored and decoupled data
    > ### Aliases: rec
    > ### Keywords: Poisson negative binomial univariate table frequency table
    > ### count data censored dispersion truncated contingency
    >
    > ### ** Examples
    >
    > # provide two averages
    > # seed.matrix defaults to a matrix of ones
    > # seed.estimation.method defaults to ipfp
    > twoaverages.results<-rec(
    + X= 4.4,
    + Y = 571.3,
    + Xlowerbound = 1,
    + Xupperbound = 20,
    + Ylowerbound = 520,
    + Yupperbound = 620)
    [1] "Truncated Poisson distributions were calculated for both the X and Y variable (i.e. Var(X) = E(X) and Var(Y) = E(Y) has to be assumed when only averages are provided)"
    [1] "The default seed matrix implies independence between variables 1/(length(Xlowerbound:Xupperbound)*length(Ylowerbound:Yupperbound)) (i.e. independence between variables has to be assumed when there is no external information about the joint distribution)"
    Error in isFALSE(all.equal(sum(seedfinal), 1)) :
     could not find function "isFALSE"
    Calls: rec
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 1.0.4
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-oldrel-osx-x86_64