CRAN Package Check Results for Package NetOrigin

Last updated on 2023-02-27 06:49:27 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1-4 4.54 54.40 58.94 ERROR
r-devel-linux-x86_64-debian-gcc 1.1-4 4.63 41.15 45.78 ERROR
r-devel-linux-x86_64-fedora-clang 1.1-4 73.03 ERROR
r-devel-linux-x86_64-fedora-gcc 1.1-4 72.50 ERROR
r-devel-windows-x86_64 1.1-4 24.00 81.00 105.00 ERROR
r-patched-linux-x86_64 1.1-4 11.35 53.00 64.35 ERROR
r-release-linux-x86_64 1.1-4 4.60 54.40 59.00 ERROR
r-release-macos-arm64 1.1-4 29.00 OK
r-release-macos-x86_64 1.1-4 48.00 OK
r-release-windows-x86_64 1.1-4 20.00 85.00 105.00 ERROR
r-oldrel-macos-arm64 1.1-4 30.00 OK
r-oldrel-macos-x86_64 1.1-4 42.00 OK
r-oldrel-windows-ix86+x86_64 1.1-4 20.00 20.00 ERROR

Check Details

Version: 1.1-4
Check: examples
Result: ERROR
    Running examples in ‘NetOrigin-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: origin
    > ### Title: Origin Estimation for Propagation Processes on Complex Networks
    > ### Aliases: origin origin_edm origin_backtracking origin_centrality
    > ### origin_bayesian
    >
    > ### ** Examples
    >
    > data(delayGoe)
    >
    > # compute effective distance
    > data(ptnGoe)
    > goenet <- igraph::as_adjacency_matrix(ptnGoe, sparse=FALSE)
    > p <- goenet/rowSums(goenet)
    > eff <- eff_dist(p)
    Computing the effective distance between 257 nodes:
     1...................................................................................................
     100...................................................................................................
     200.........................................................done
    > # apply effective distance median source estimation
    > om <- origin(events=delayGoe[10,-c(1:2)], type='edm', distance=eff)
    > summary(om)
    Effective distance median origin estimation:
    
    estimated node of origin 91: X.Gotthelf.Leimbach.Strasse
    
    auxiliary variables:
     id events wmean wvar
     Min. : 1 Min. : 0.0000 Min. : 5.482 Min. :0.3987
     1st Qu.: 65 1st Qu.: 0.0000 1st Qu.:21.572 1st Qu.:2.2761
     Median :129 Median : 0.0000 Median :27.345 Median :2.4050
     Mean :129 Mean : 0.6459 Mean :26.948 Mean :2.4989
     3rd Qu.:193 3rd Qu.: 0.0000 3rd Qu.:33.359 3rd Qu.:2.9986
     Max. :257 Max. :46.0000 Max. :47.762 Max. :6.2052
     mdist
     Min. :14.34
     1st Qu.:20.75
     Median :24.23
     Mean :24.92
     3rd Qu.:28.88
     Max. :39.16
    > plot(om, 'mdist',start=1)
    > plot(om, 'wvar',start=1)
    > performance(om, start=1, graph=ptnGoe)
     start est hitt rank spj dist
    1 X.Adolf.Hoyer.Strasse X.Gotthelf.Leimbach.Strasse FALSE 2 2 1332
    >
    > # backtracking origin estimation (Manitz et al., 2016)
    > ob <- origin(events=delayGoe[10,-c(1:2)], type='backtracking', graph=ptnGoe)
    Error in if (V(graph)[current_node]$events > 0 | !start_with_event_node) { :
     argument is of length zero
    Calls: origin -> origin_backtracking
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 1.1-4
Check: examples
Result: ERROR
    Running examples in ‘NetOrigin-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: origin
    > ### Title: Origin Estimation for Propagation Processes on Complex Networks
    > ### Aliases: origin origin_edm origin_backtracking origin_centrality
    > ### origin_bayesian
    >
    > ### ** Examples
    >
    > data(delayGoe)
    >
    > # compute effective distance
    > data(ptnGoe)
    > goenet <- igraph::as_adjacency_matrix(ptnGoe, sparse=FALSE)
    > p <- goenet/rowSums(goenet)
    > eff <- eff_dist(p)
    Computing the effective distance between 257 nodes:
     1...................................................................................................
     100...................................................................................................
     200.........................................................done
    > # apply effective distance median source estimation
    > om <- origin(events=delayGoe[10,-c(1:2)], type='edm', distance=eff)
    > summary(om)
    Effective distance median origin estimation:
    
    estimated node of origin 91: X.Gotthelf.Leimbach.Strasse
    
    auxiliary variables:
     id events wmean wvar
     Min. : 1 Min. : 0.0000 Min. : 5.482 Min. :0.3987
     1st Qu.: 65 1st Qu.: 0.0000 1st Qu.:21.572 1st Qu.:2.2761
     Median :129 Median : 0.0000 Median :27.345 Median :2.4050
     Mean :129 Mean : 0.6459 Mean :26.948 Mean :2.4989
     3rd Qu.:193 3rd Qu.: 0.0000 3rd Qu.:33.359 3rd Qu.:2.9986
     Max. :257 Max. :46.0000 Max. :47.762 Max. :6.2052
     mdist
     Min. :14.34
     1st Qu.:20.75
     Median :24.23
     Mean :24.92
     3rd Qu.:28.88
     Max. :39.16
    > plot(om, 'mdist',start=1)
    > plot(om, 'wvar',start=1)
    > performance(om, start=1, graph=ptnGoe)
     start est hitt rank spj dist
    1 X.Adolf.Hoyer.Strasse X.Gotthelf.Leimbach.Strasse FALSE 2 2 1332
    >
    > # backtracking origin estimation (Manitz et al., 2016)
    > ob <- origin(events=delayGoe[10,-c(1:2)], type='backtracking', graph=ptnGoe)
    Error in if (V(graph)[current_node]$events > 0 | !start_with_event_node) { :
     argument is of length zero
    Calls: origin -> origin_backtracking
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64

Version: 1.1-4
Check: whether package can be installed
Result: ERROR
    install log '' does not exist
Flavor: r-oldrel-windows-ix86+x86_64