CRAN Package Check Results for Package WeightedCluster

Last updated on 2021-12-04 19:53:15 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.6-0 17.37 220.93 238.30 OK
r-devel-linux-x86_64-debian-gcc 1.6-0 13.75 171.03 184.78 OK
r-devel-linux-x86_64-fedora-clang 1.6-0 314.65 WARN
r-devel-linux-x86_64-fedora-gcc 1.6-0 291.21 WARN
r-devel-windows-x86_64-new-UL 1.6-0 37.00 388.00 425.00 OK
r-devel-windows-x86_64-new-TK 1.6-0 WARN
r-devel-windows-x86_64-old 1.6-0 29.00 221.00 250.00 OK
r-patched-linux-x86_64 1.6-0 20.63 210.91 231.54 OK
r-release-linux-x86_64 1.6-0 15.81 212.86 228.67 OK
r-release-macos-arm64 1.6-0 OK
r-release-macos-x86_64 1.6-0 OK
r-release-windows-ix86+x86_64 1.6-0 45.00 371.00 416.00 OK
r-oldrel-macos-x86_64 1.6-0 OK
r-oldrel-windows-ix86+x86_64 1.6-0 46.00 371.00 417.00 OK

Check Details

Version: 1.6-0
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘WeightedCluster.Rnw’ using knitr
    Loading required package: TraMineR
    
    TraMineR stable version 2.2-2 (Built: 2021-12-02)
    Website: http://traminer.unige.ch
    Please type 'citation("TraMineR")' for citation information.
    
    Loading required package: cluster
    This is WeightedCluster stable version 1.6-0 (Built: 2021-12-03)
    
    To get the manuals, please run:
     vignette("WeightedCluster") ## Complete manual in English
     vignette("WeightedClusterFR") ## Complete manual in French
     vignette("WeightedClusterPreview") ## Short preview in English
    
    To cite WeightedCluster in publications please use:
    Studer, Matthias (2013). WeightedCluster Library
     Manual: A practical guide to creating typologies
     of trajectories in the social sciences with R.
     LIVES Working Papers, 24. doi:
     10.12682/lives.2296-1658.2013.24
    Loading required package: permute
    Loading required package: lattice
    This is vegan 2.5-7
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/4.46
     [>] 712 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 712 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.29 secs
    The "ward" method has been renamed to "ward.D"; note new "ward.D2"
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/33.43
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.17 secs
    --- finished re-building ‘WeightedCluster.Rnw’
    
    --- re-building ‘WeightedClusterFR.Rnw’ using knitr
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/4.46
     [>] 712 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 712 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.34 secs
    The "ward" method has been renamed to "ward.D"; note new "ward.D2"
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/33.43
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.12 secs
    --- finished re-building ‘WeightedClusterFR.Rnw’
    
    --- re-building ‘WeightedClusterPreview.Rnw’ using knitr
     [>] 6 distinct states appear in the data:
     1 = FE
     2 = HE
     3 = employment
     4 = joblessness
     5 = school
     6 = training
     [>] state coding:
     [alphabet] [label] [long label]
     1 FE FE FE
     2 HE HE HE
     3 employment employment employment
     4 joblessness joblessness joblessness
     5 school school school
     6 training training training
     [>] sum of weights: 712 - min/max: 1/50
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] creating a 'sm' with a single substitution cost of 1
     [>] creating 6x6 substitution-cost matrix using 1 as constant value
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the HAM metric
     [>] elapsed time: 0.463 secs
    Error: processing vignette 'WeightedClusterPreview.Rnw' failed with diagnostics:
    Running 'texi2dvi' on 'WeightedClusterPreview.tex' failed.
    LaTeX errors:
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    --- failed re-building ‘WeightedClusterPreview.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘WeightedClusterPreview.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.6-0
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘WeightedCluster.Rnw’ using knitr
    Loading required package: TraMineR
    
    TraMineR stable version 2.2-2 (Built: 2021-12-03)
    Website: http://traminer.unige.ch
    Please type 'citation("TraMineR")' for citation information.
    
    Loading required package: cluster
    This is WeightedCluster stable version 1.6-0 (Built: 2021-12-03)
    
    To get the manuals, please run:
     vignette("WeightedCluster") ## Complete manual in English
     vignette("WeightedClusterFR") ## Complete manual in French
     vignette("WeightedClusterPreview") ## Short preview in English
    
    To cite WeightedCluster in publications please use:
    Studer, Matthias (2013). WeightedCluster Library
     Manual: A practical guide to creating typologies
     of trajectories in the social sciences with R.
     LIVES Working Papers, 24. doi:
     10.12682/lives.2296-1658.2013.24
    Loading required package: permute
    Loading required package: lattice
    This is vegan 2.5-7
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/4.46
     [>] 712 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 712 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 3 secs
    The "ward" method has been renamed to "ward.D"; note new "ward.D2"
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/33.43
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.88 secs
    --- finished re-building ‘WeightedCluster.Rnw’
    
    --- re-building ‘WeightedClusterFR.Rnw’ using knitr
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/4.46
     [>] 712 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 712 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.98 secs
    The "ward" method has been renamed to "ward.D"; note new "ward.D2"
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/33.43
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.82 secs
    --- finished re-building ‘WeightedClusterFR.Rnw’
    
    --- re-building ‘WeightedClusterPreview.Rnw’ using knitr
     [>] 6 distinct states appear in the data:
     1 = FE
     2 = HE
     3 = employment
     4 = joblessness
     5 = school
     6 = training
     [>] state coding:
     [alphabet] [label] [long label]
     1 FE FE FE
     2 HE HE HE
     3 employment employment employment
     4 joblessness joblessness joblessness
     5 school school school
     6 training training training
     [>] sum of weights: 712 - min/max: 1/50
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] creating a 'sm' with a single substitution cost of 1
     [>] creating 6x6 substitution-cost matrix using 1 as constant value
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the HAM metric
     [>] elapsed time: 0.469 secs
    Error: processing vignette 'WeightedClusterPreview.Rnw' failed with diagnostics:
    Running 'texi2dvi' on 'WeightedClusterPreview.tex' failed.
    LaTeX errors:
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    ! Package xcolor Error: Undefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
     ...
    --- failed re-building ‘WeightedClusterPreview.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘WeightedClusterPreview.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.6-0
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building 'WeightedCluster.Rnw' using knitr
    Loading required package: TraMineR
    
    TraMineR stable version 2.2-2 (Built: 2021-11-30)
    Website: http://traminer.unige.ch
    Please type 'citation("TraMineR")' for citation information.
    
    Loading required package: cluster
    This is WeightedCluster stable version 1.6-0 (Built: 2021-12-01)
    
    To get the manuals, please run:
     vignette("WeightedCluster") ## Complete manual in English
     vignette("WeightedClusterFR") ## Complete manual in French
     vignette("WeightedClusterPreview") ## Short preview in English
    
    To cite WeightedCluster in publications please use:
    Studer, Matthias (2013). WeightedCluster Library
     Manual: A practical guide to creating typologies
     of trajectories in the social sciences with R.
     LIVES Working Papers, 24. doi:
     10.12682/lives.2296-1658.2013.24
    Loading required package: permute
    Loading required package: lattice
    This is vegan 2.5-7
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/4.46
     [>] 712 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 712 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.92 secs
    The "ward" method has been renamed to "ward.D"; note new "ward.D2"
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/33.43
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.58 secs
    --- finished re-building 'WeightedCluster.Rnw'
    
    --- re-building 'WeightedClusterFR.Rnw' using knitr
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/4.46
     [>] 712 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 712 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.86 secs
    The "ward" method has been renamed to "ward.D"; note new "ward.D2"
     [>] state coding:
     [alphabet] [label] [long label]
     1 employment EM Employment
     2 FE FE Further Education
     3 HE HE Higher Education
     4 joblessness JL Joblessness
     5 school SC School
     6 training TR Training
     [>] sum of weights: 711.57 - min/max: 0.13/33.43
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] checking 'sm' (size and triangle inequality)
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the OM metric
     [>] elapsed time: 2.77 secs
    --- finished re-building 'WeightedClusterFR.Rnw'
    
    --- re-building 'WeightedClusterPreview.Rnw' using knitr
     [>] 6 distinct states appear in the data:
     1 = FE
     2 = HE
     3 = employment
     4 = joblessness
     5 = school
     6 = training
     [>] state coding:
     [alphabet] [label] [long label]
     1 FE FE FE
     2 HE HE HE
     3 employment employment employment
     4 joblessness joblessness joblessness
     5 school school school
     6 training training training
     [>] sum of weights: 712 - min/max: 1/50
     [>] 490 sequences in the data set
     [>] min/max sequence length: 70/70
     [>] 490 sequences with 6 distinct states
     [>] creating a 'sm' with a single substitution cost of 1
     [>] creating 6x6 substitution-cost matrix using 1 as constant value
     [>] 490 distinct sequences
     [>] min/max sequence lengths: 70/70
     [>] computing distances using the HAM metric
     [>] elapsed time: 0.25 secs
    Warning in system(paste(shQuote(texi2dvi), if (quiet) "--quiet" else "", :
     running command '"C:\PROGRA~1\MiKTeX\miktex\bin\x64\texify.exe" --quiet --pdf "WeightedClusterPreview.tex" --max-iterations=20 -I "C:/r_packages/rinst/share/texmf/tex/latex" -I "C:/r_packages/rinst/share/texmf/bibtex/bst"' had status 1
    Error: processing vignette 'WeightedClusterPreview.Rnw' failed with diagnostics:
    running 'texi2dvi' on 'WeightedClusterPreview.tex' failed
    
    LaTeX errors:
    ightedCluster/vignettes/WeightedClusterPreview.tex:153: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:167: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:178: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:198: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:211: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:221: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:241: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:273: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:289: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:305: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:330: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:340: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:365: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    ightedCluster/vignettes/WeightedClusterPreview.tex:385: Package xcolor Error: U
    ndefined color `fgcolor'.
    
    See the xcolor package documentation for explanation.
    Type H <return> for immediate help.
    
    --- failed re-building 'WeightedClusterPreview.Rnw'
    
    SUMMARY: processing the following file failed:
     'WeightedClusterPreview.Rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-windows-x86_64-new-TK