CRAN Package Check Results for Package tawny

Last updated on 2016-05-02 21:50:04.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-gcc 2.1.2 2.28 18.07 20.36 ERROR
r-devel-linux-x86_64-fedora-clang 2.1.2 34.37 ERROR
r-devel-linux-x86_64-fedora-gcc 2.1.2 32.79 ERROR
r-devel-osx-x86_64-clang 2.1.2 37.70 ERROR
r-devel-windows-ix86+x86_64 2.1.2 6.00 41.00 47.00 NOTE
r-patched-linux-x86_64 2.1.2 2.18 18.93 21.11 NOTE
r-patched-solaris-sparc 2.1.2 235.70 NOTE
r-patched-solaris-x86 2.1.2 57.80 NOTE
r-release-linux-x86_64 2.1.2 2.43 21.52 23.95 OK
r-release-osx-x86_64-mavericks 2.1.2 OK
r-release-windows-ix86+x86_64 2.1.2 6.00 42.00 48.00 OK
r-oldrel-windows-ix86+x86_64 2.1.2 15.00 72.00 87.00 OK

Check Details

Version: 2.1.2
Check: R code for possible problems
Result: NOTE
    cor.mean: no visible global function definition for ‘cov2cor’
    ensure: no visible global function definition for ‘start’
    ensure: no visible global function definition for ‘end’
    getIndexComposition: no visible global function definition for
     ‘read.csv’
    p.optimize : sdna: no visible global function definition for ‘sd’
    Undefined global functions or variables:
     cov2cor end read.csv sd start
    Consider adding
     importFrom("stats", "cov2cor", "end", "sd", "start")
     importFrom("utils", "read.csv")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86

Version: 2.1.2
Check: examples
Result: ERROR
    Running examples in ‘tawny-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: divergence
    > ### Title: Measure the divergence and stability between two correlation
    > ### matrices
    > ### Aliases: divergence divergence.stability divergence.kl divergence_lim
    > ### stability_lim plotDivergenceLimit.kl KullbackLeibler
    > ### Keywords: ts
    >
    > ### ** Examples
    >
    > data(sp500.subset)
    > h <- sp500.subset
    >
    > plotDivergenceLimit.kl(100, 80:499, col='green', ylim=c(0,55))
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
    Warning in digamma((l:t)/2) : NaNs produced
     [1] NaN NaN NaN NaN NaN NaN NaN
     [8] NaN NaN NaN NaN NaN NaN NaN
     [15] NaN NaN NaN NaN NaN NaN 51.219304
     [22] 48.779046 47.022058 45.562191 44.285880 43.140301 42.095216 41.131128
     [29] 40.234459 39.395228 38.605803 37.860168 37.153462 36.481683 35.841480
     [36] 35.230010 34.644835 34.083840 33.545176 33.027214 32.528508 32.047771
     [43] 31.583845 31.135688 30.702355 30.282989 29.876806 29.483090 29.101183
     [50] 28.730478 28.370416 28.020479 27.680186 27.349089 27.026774 26.712851
     [57] 26.406956 26.108750 25.817913 25.534145 25.257163 24.986703 24.722513
     [64] 24.464356 24.212008 23.965258 23.723903 23.487754 23.256630 23.030358
     [71] 22.808776 22.591726 22.379062 22.170640 21.966328 21.765994 21.569517
     [78] 21.376778 21.187664 21.002068 20.819886 20.641019 20.465371 20.292852
     [85] 20.123373 19.956851 19.793204 19.632355 19.474228 19.318752 19.165857
     [92] 19.015475 18.867543 18.721998 18.578780 18.437831 18.299095 18.162519
     [99] 18.028049 17.895635 17.765229 17.636784 17.510253 17.385592 17.262759
    [106] 17.141712 17.022412 16.904818 16.788894 16.674602 16.561908 16.450776
    [113] 16.341174 16.233069 16.126430 16.021226 15.917426 15.815003 15.713929
    [120] 15.614175 15.515716 15.418526 15.322579 15.227852 15.134320 15.041961
    [127] 14.950751 14.860669 14.771694 14.683804 14.596980 14.511201 14.426449
    [134] 14.342705 14.259950 14.178166 14.097337 14.017445 13.938473 13.860405
    [141] 13.783226 13.706920 13.631472 13.556867 13.483091 13.410130 13.337970
    [148] 13.266598 13.196001 13.126165 13.057079 12.988730 12.921107 12.854196
    [155] 12.787988 12.722470 12.657632 12.593464 12.529954 12.467092 12.404869
    [162] 12.343274 12.282298 12.221931 12.162164 12.102989 12.044395 11.986375
    [169] 11.928920 11.872022 11.815672 11.759863 11.704586 11.649834 11.595600
    [176] 11.541875 11.488653 11.435926 11.383688 11.331932 11.280651 11.229837
    [183] 11.179486 11.129591 11.080144 11.031141 10.982575 10.934440 10.886730
    [190] 10.839440 10.792565 10.746098 10.700034 10.654369 10.609096 10.564211
    [197] 10.519708 10.475583 10.431831 10.388447 10.345427 10.302765 10.260458
    [204] 10.218501 10.176889 10.135618 10.094685 10.054084 10.013811 9.973864
    [211] 9.934237 9.894927 9.855930 9.817243 9.778861 9.740781 9.702999
    [218] 9.665512 9.628316 9.591409 9.554785 9.518444 9.482380 9.446591
    [225] 9.411073 9.375824 9.340840 9.306119 9.271658 9.237453 9.203501
    [232] 9.169801 9.136348 9.103141 9.070176 9.037451 9.004963 8.972710
    [239] 8.940690 8.908898 8.877334 8.845995 8.814878 8.783980 8.753301
    [246] 8.722836 8.692584 8.662544 8.632711 8.603085 8.573663 8.544443
    [253] 8.515424 8.486602 8.457976 8.429543 8.401303 8.373253 8.345390
    [260] 8.317714 8.290222 8.262912 8.235783 8.208833 8.182060 8.155462
    [267] 8.129037 8.102784 8.076702 8.050788 8.025041 7.999459 7.974040
    [274] 7.948784 7.923688 7.898751 7.873972 7.849348 7.824879 7.800563
    [281] 7.776399 7.752384 7.728519 7.704801 7.681229 7.657801 7.634517
    [288] 7.611375 7.588373 7.565511 7.542787 7.520200 7.497748 7.475431
    [295] 7.453247 7.431195 7.409274 7.387483 7.365820 7.344284 7.322875
    [302] 7.301591 7.280431 7.259393 7.238478 7.217683 7.197009 7.176452
    [309] 7.156014 7.135692 7.115486 7.095395 7.075417 7.055552 7.035799
    [316] 7.016156 6.996624 6.977200 6.957885 6.938677 6.919575 6.900578
    [323] 6.881686 6.862898 6.844212 6.825628 6.807145 6.788763 6.770480
    [330] 6.752296 6.734210 6.716220 6.698327 6.680530 6.662827 6.645218
    [337] 6.627703 6.610279 6.592948 6.575708 6.558558 6.541497 6.524526
    [344] 6.507643 6.490847 6.474138 6.457515 6.440978 6.424525 6.408157
    [351] 6.391872 6.375670 6.359551 6.343513 6.327556 6.311679 6.295882
    [358] 6.280165 6.264525 6.248964 6.233481 6.218074 6.202743 6.187488
    [365] 6.172309 6.157203 6.142172 6.127215 6.112330 6.097518 6.082777
    [372] 6.068108 6.053510 6.038982 6.024524 6.010135 5.995815 5.981563
    [379] 5.967379 5.953263 5.939213 5.925230 5.911312 5.897460 5.883673
    [386] 5.869951 5.856292 5.842698 5.829166 5.815697 5.802291 5.788946
    [393] 5.775663 5.762441 5.749279 5.736178 5.723136 5.710154 5.697230
    [400] 5.684366 5.671559 5.658810 5.646119 5.633484 5.620906 5.608384
    [407] 5.595918 5.583508 5.571153 5.558852 5.546606 5.534413 5.522275
    [414] 5.510189 5.498157 5.486177 5.474249 5.462374 5.450550 5.438777
    >
    > divergence(h, 25, filter=function(x) denoise(x, RandomMatrixDenoiser()))
    Warning in zoo(h.window, rownames(h.window)) :
     some methods for “zoo” objects do not work if the index entries in ‘order.by’ are not unique
    Error in UseFunction(cutoff, "cutoff", ...) :
     No valid function for 'cutoff(matrix,eigen,RandomMatrixDenoiser)'
    Calls: divergence ... <Anonymous> -> <Anonymous> -> cutoff -> UseFunction
    Execution halted
Flavors: r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang