CRAN Package Check Results for Package MatchingFrontier

Last updated on 2019-05-19 15:48:01 CEST.

Check Details

Version: 1.0.0
Check: R code for possible problems
Result: NOTE
    binsToFrontier: no visible global function definition for 'tail'
    calculateMdist: no visible global function definition for 'cov'
    estimateEffects: no visible global function definition for
     'txtProgressBar'
    estimateEffects: no visible global function definition for 'lm'
    estimateEffects: no visible global function definition for 'coef'
    estimateEffects: no visible global function definition for 'confint'
    estimateEffects: no visible global function definition for
     'setTxtProgressBar'
    getCutpoint: no visible global function definition for 'as.formula'
    getCutpoint: no visible global function definition for 'glm'
    getCutpoint: no visible global function definition for 'lm'
    modelDependence: no visible global function definition for 'as.formula'
    modelDependence: no visible global function definition for 'lm'
    nclass.ss: no visible global function definition for 'hist'
    plotEstimates: no visible global function definition for 'rgb'
    plotEstimates: no visible global function definition for 'plot'
    plotEstimates: no visible global function definition for 'polygon'
    plotEstimates: no visible global function definition for 'lines'
    plotFrontier: no visible global function definition for 'plot'
    plotMeans: no visible global function definition for 'rainbow'
    plotMeans: no visible global function definition for 'weighted.mean'
    plotMeans: no visible global function definition for 'par'
    plotMeans: no visible global function definition for 'plot'
    plotMeans: no visible global function definition for 'points'
    plotMeans: no visible global function definition for 'legend'
    reduceVar: no visible global function definition for 'nclass.Sturges'
    reduceVar: no visible global function definition for 'nclass.FD'
    reduceVar: no visible global function definition for 'nclass.scott'
    Undefined global functions or variables:
     as.formula coef confint cov glm hist legend lines lm nclass.FD
     nclass.Sturges nclass.scott par plot points polygon rainbow rgb
     setTxtProgressBar tail txtProgressBar weighted.mean
    Consider adding
     importFrom("grDevices", "nclass.FD", "nclass.Sturges", "nclass.scott",
     "rainbow", "rgb")
     importFrom("graphics", "hist", "legend", "lines", "par", "plot",
     "points", "polygon")
     importFrom("stats", "as.formula", "coef", "confint", "cov", "glm",
     "lm", "weighted.mean")
     importFrom("utils", "setTxtProgressBar", "tail", "txtProgressBar")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64

Version: 1.0.0
Check: examples
Result: ERROR
    Running examples in 'MatchingFrontier-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: modelDependence
    > ### Title: Compute the Athey-Imbens measure of sensitivity to model
    > ### specification.
    > ### Aliases: modelDependence
    >
    > ### ** Examples
    >
    > data(lalonde)
    >
    > treatment <- 'treat'
    > base.form <- as.formula('re78 ~ treat + age + education
    + + black + hispanic + married +
    + nodegree + re74 + re75')
    Error in str2lang(s) : parsing result not of length one, but 2
    Calls: as.formula -> formula -> formula.character -> str2lang
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 1.0.0
Check: examples
Result: ERROR
    Running examples in ‘MatchingFrontier-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: modelDependence
    > ### Title: Compute the Athey-Imbens measure of sensitivity to model
    > ### specification.
    > ### Aliases: modelDependence
    >
    > ### ** Examples
    >
    > data(lalonde)
    >
    > treatment <- 'treat'
    > base.form <- as.formula('re78 ~ treat + age + education
    + + black + hispanic + married +
    + nodegree + re74 + re75')
    Error in str2lang(s) : parsing result not of length one, but 2
    Calls: as.formula -> formula -> formula.character -> str2lang
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64