CRAN Package Check Results for Package revengc

Last updated on 2019-04-13 01:58:18 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.4 6.41 57.06 63.47 OK
r-devel-linux-x86_64-debian-gcc 1.0.4 5.37 44.55 49.92 OK
r-devel-linux-x86_64-fedora-clang 1.0.4 75.43 OK
r-devel-linux-x86_64-fedora-gcc 1.0.4 72.27 OK
r-devel-windows-ix86+x86_64 1.0.4 19.00 98.00 117.00 OK
r-patched-linux-x86_64 1.0.4 5.23 56.97 62.20 OK
r-patched-solaris-x86 1.0.4 107.30 OK
r-release-linux-x86_64 1.0.4 5.68 57.92 63.60 OK
r-release-windows-ix86+x86_64 1.0.4 16.00 74.00 90.00 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